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Machine Learning Engineer At Mercor San Francisco jobs in San Francisco
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Machine Learning Engineer at Mercor | San Francisco
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About Mercor
Mercor operates at the dynamic intersection of labor markets and artificial intelligence research. By collaborating with top-tier AI laboratories and enterprises, we provide the vital human intelligence needed for AI development.
Our extensive network of over 30,000 experts trains cutting-edge AI models in a manner akin to educators nurturing students: through the exchange of knowledge, experience, and contextual insights that cannot be encoded. Collectively, our experts generate over $2 million in earnings each day.
At Mercor, we're pioneering a new category of work where expertise fuels AI progression. This ambitious endeavor requires a fast-paced, dedicated team. You’ll collaborate with leading researchers, operators, and AI companies at the forefront of systems that are transforming society.
As a profitable Series C company valued at $10 billion, we operate in-person five days a week at our state-of-the-art headquarters in San Francisco.
About MercorMercor operates at the dynamic intersection of labor markets and artificial intelligence research. By collaborating with top-tier AI laboratories and enterprises, we provide the vital human intelligence needed for AI development.Our extensive network of over 30,000 experts trains cutting-edge AI models in a manner akin to educators nurturing stud…
Join the Future of AI at MercorAt Mercor, we find ourselves at the dynamic intersection of labor markets and artificial intelligence research. Our collaborations with top-tier AI laboratories and corporations empower us to deliver the crucial human intelligence that fuels AI advancement.Our expansive network of talent is akin to educators nurturing students; we impart knowledge, experience, and nuances that cannot simply be encoded. Currently, over 30,000 experts within our network generate upwards of $2 million daily.We are pioneering a novel category of employment where expertise drives the evolution of AI. To realize this vision, we require a driven, fast-paced, and exceptionally dedicated team. You will collaborate with researchers, operators, and cutting-edge AI firms that are shaping the future of societal systems.Mercor is a thriving Series C enterprise, currently valued at $10 billion. Our team operates in-person, five days a week, at our state-of-the-art headquarters in San Francisco.About the RoleLeading AI companies in Silicon Valley engage with Mercor to identify domain experts capable of training and assessing their models. As an AI Researcher at Mercor, you will be tasked with pushing the boundaries of model evaluation to enhance model performance across the industry, creating tangible economic value.You will regularly publish influential papers alongside industry leaders, have access to extensive resources for crafting impactful datasets, and engage with cutting-edge evaluation and training data. Collaborating closely with Mercor’s Forward Deployed Research, Applied AI, and Operations teams will provide you with unparalleled opportunities to assess leading models.We seek an accomplished AI researcher. A demonstrated history of publications in LLM evaluations is preferred, but we also value experience with other types of model evaluations or AI-related publications.Key ResponsibilitiesDevelop benchmarks that quantify the real-world impact of AI models.Publish LLM evaluation studies in top-tier conferences with the backing of Mercor’s Applied AI and Operations teams.Advance the understanding of data ROI in model development, encompassing multi-modality, coding, tool usage, and beyond.Design and validate innovative data collection and annotation solutions for leading industry labs and major tech firms.What We’re Looking ForA PhD or M.S. with 2+ years of professional experience in computer science, electrical engineering, econometrics, or a related STEM discipline that provides a robust foundation in machine learning and model evaluation.A strong publication record in AI research, particularly in model evaluation is essential.
Join the Mercor TeamAt Mercor, we are pioneers at the crossroads of labor markets and artificial intelligence research. Collaborating with top AI labs and enterprises, we provide the crucial human intelligence that drives AI development.Our extensive talent network empowers more than 30,000 experts who collectively generate over $2 million a day, training cutting-edge AI models by sharing invaluable knowledge and context that goes beyond mere code. We are dedicated to establishing a new work paradigm where expertise fuels AI progress, and we are looking for driven individuals to join our ambitious and fast-paced team.As a profitable Series C company valued at $10 billion, Mercor emphasizes teamwork in our new San Francisco headquarters, where we work in-person five days a week.Your Role as a Data EngineerWe are seeking a passionate Data Engineer who can bring a full-stack perspective to our data functions. In this role, you will create and maintain robust data pipelines that support our Data Science, Engineering, and Product teams, ensuring seamless data flow across the Mercor organization.Your primary focus will be on data reliability, availability, and timeliness, working closely with our Data Science team and various partner functions to enhance our data capabilities.Key ResponsibilitiesDeveloping robust data pipelines to ingest, transform, and consolidate data from various sources, such as MongoDB, Airtable, and production databases.Designing dbt models and transformations to standardize and unify disparate data tables into clean, production-ready schemas.Implementing scalable and fault-tolerant data workflows using tools like Fivetran, dbt, SQL, and Python.Collaborating with engineers, data scientists, and business stakeholders to ensure data accuracy, availability, and usability.Owning data quality and reliability from ingestion to consumption across the data stack.Continuously monitoring and enhancing pipeline performance and scalability.QualificationsProven experience in data engineering, with strong proficiency in SQL, Python, and modern data stack tools such as Fivetran, dbt, Snowflake, or similar.Experience in building and maintaining large-scale data pipelines and workflows.Strong problem-solving skills and a collaborative mindset, with a focus on effective communication.
Join our innovative team at mercor as a Software Engineer specializing in Automation. In this role, you will be integral to developing and implementing automated solutions that enhance our software products and improve operational efficiency. We are looking for a passionate engineer who thrives in a collaborative environment and is eager to take on challenges that push the boundaries of technology.
Join Our Team at MercorAt Mercor, we sit at the cutting edge of labor markets and AI innovation. Collaborating with top AI laboratories and enterprises, we provide the vital human intelligence necessary for the advancement of AI development.Our extensive talent network trains advanced AI models, sharing insights and experiences that transcend mere coding. Daily, over 30,000 experts in our community collectively generate more than $2 million.Mercor is pioneering a new realm of work wherein expertise fuels AI progress. This ambition calls for a dynamic, fast-paced, and dedicated team. You will collaborate with researchers, operational teams, and AI firms at the forefront of redefining our societal systems.As a profitable Series C enterprise valued at $10 billion, we operate in-person five days a week from our newly established headquarters in San Francisco.About the RoleIn your capacity as a Security Engineer at Mercor, you will be entrusted with the crucial task of protecting our systems, infrastructure, and sensitive data. You will design and execute defense mechanisms, monitor for potential threats, and ensure that security is seamlessly integrated throughout the entire development and deployment lifecycle. This position is perfect for an individual who thrives in fast-paced settings, anticipates risks proactively, and enjoys constructing effective, scalable security systems without hindering innovation.Your ResponsibilitiesDesign and implement robust security controls across our infrastructure, applications, and networks.Continuously monitor for vulnerabilities, threats, and any suspicious activities.Conduct penetration tests, vulnerability assessments, and manage incident responses.Integrate security practices into CI/CD pipelines and development workflows.Ensure compliance with standards such as SOC 2, ISO 27001, and GDPR.Collaborate with engineers to ensure security is prioritized in system design.Research emerging threats and implement proactive countermeasures.Ideal CandidateProfound understanding of security principles, tools, and industry best practices.Experience with SIEMs, IDS/IPS, firewalls, and vulnerability scanning.Familiarity with cloud security environments (AWS, GCP, or Azure).Solid foundation in encryption and secure coding practices.
Join the Mercor TeamAt Mercor, we stand at the dynamic intersection of labor markets and AI research. Collaborating with premier AI labs and enterprises, we empower the human intelligence that is crucial for AI's evolution.Our expansive talent network plays a vital role in training cutting-edge AI models, akin to the way educators impart knowledge to their students—by sharing insights, experiences, and contextual understanding that code alone cannot convey. Currently, our network of over 30,000 experts generates more than $2 million daily.We are pioneering a novel category of work where expertise fuels AI progress. Achieving this vision necessitates an ambitious, fast-paced, and deeply dedicated team. You will collaborate with researchers, operators, and AI firms that are at the forefront of transforming societal structures.Mercor is a thriving Series C company with a valuation of $10 billion. We operate five days a week in-person at our new headquarters in San Francisco.About the RoleAs a Site Reliability Engineer (SRE) at Mercor, you will take ownership of production reliability for our critical systems, working closely with our infrastructure leadership. You will play a pivotal role in establishing our SRE function and defining how Mercor manages large-scale, high-availability systems.Your ResponsibilitiesEnsure the reliability and safety of production for key shared services and customer-facing systems.Collaborate directly with infrastructure leadership to outline SRE priorities, reliability benchmarks, and the production safety roadmap.Enhance the structure of our production systems to ensure stability, resource efficiency, isolation, and observability.Advocate for and implement modern SRE methodologies (e.g., incident management, postmortems, SLIs/SLOs) across engineering teams.Work alongside engineering and applied AI teams to facilitate sustainable growth.Promote SRE best practices internally, supporting teams in a safe, scalable, and consistent production onboarding process.Who We SeekThe ideal candidate will have:Extensive experience in genuine SRE roles (not merely operations) across various positions or organizations.A deep understanding of SRE methodologies popularized by Google (e.g., error budgets, reliability vs. risk trade-offs, large-scale distributed systems).5+ years of SRE experience; ideally, 15+ years in total experience for this inaugural SRE position.A proven track record of managing systems at scale, with a strong grasp of the complexities involved.
About MercorMercor sits at the forefront of labor markets and artificial intelligence research, collaborating with premier AI laboratories and enterprises to harness the human intelligence crucial for AI evolution.Our expansive talent network empowers the training of cutting-edge AI models, akin to how educators impart knowledge to students—sharing insights, experiences, and contexts that transcend mere code. Currently, our network comprises over 30,000 experts, generating collective earnings exceeding $2 million daily.At Mercor, we are pioneering a unique category of work where expertise fuels AI progress. Realizing this vision necessitates a bold, fast-paced, and deeply dedicated team. You will collaborate with researchers, operators, and AI firms that are at the vanguard of transforming systems that redefine society.As a profitable Series C company, Mercor is valued at $10 billion and maintains an in-office presence five days a week at our new headquarters in San Francisco.About the RoleIn your capacity as a Research Engineer at Mercor, you will operate at the intersection of engineering and applied AI research. You will play a pivotal role in post-training and Reinforcement Learning from Human Feedback (RLVR), synthetic data generation, and large-scale evaluation workflows essential for advancing frontier language models.Your contributions will help train large language models to adeptly utilize tools, exhibit agentic behavior, and engage in real-world reasoning within production environments. You will be instrumental in shaping rewards, conducting post-training experiments, and constructing scalable systems to enhance model performance. Your responsibilities will also include designing and evaluating datasets, creating scalable data augmentation pipelines, and developing rubrics and evaluators that expand the learning potential of LLMs.
Join Mercor as a Data ScientistAt Mercor, we stand at the forefront of labor markets and artificial intelligence research. We collaborate with top-tier AI laboratories and businesses to infuse the human intelligence crucial for the evolution of AI.Our expansive talent network empowers frontier AI models, mirroring the way educators impart knowledge: sharing insights and experiences that transcend mere coding. Currently, our network boasts over 30,000 experts generating more than $2 million daily.We are pioneering a new work paradigm where specialized expertise drives AI progress. To realize this vision, we seek a dynamic, fast-paced, and dedicated team. You will collaborate with leading researchers, operators, and AI companies, playing a pivotal role in the systems that are reshaping society.As a profitable Series C company, Mercor is valued at $10 billion and operates from our new headquarters in San Francisco with an in-office work schedule five days a week.Your RoleIn your first year, you will implement analyses and experiments that enhance key product metrics, including match quality, time-to-hire, candidate experience, and revenue. Your responsibilities will include:Establishing north-star and feature-specific metrics for our ranking systems, interview analytics, and payout frameworks.Designing and executing A/B tests and quasi-experiments, translating results into product decisions within the same week.Creating source-of-truth dashboards and streamlined data models to enable teams to self-serve answers.Collaborating with engineers to instrument events, enhancing data quality and latency from ingestion to insights.Rapidly prototyping models (from baseline models to gradient boosting) to optimize matching and scoring.Assisting in the evaluation of LLM-powered agents through the design of rubrics, human-in-the-loop studies, and guardrail mechanisms.What Makes You a Great FitYou possess strong foundational skills in statistics, SQL, and Python, alongside projects you are eager to showcase. You adapt swiftly, frame inquiries, test hypotheses, and deliver results within a day, valuing clarity in communication as much as statistical significance. A keen interest in LLM evaluation, retrieval, and ranking is a plus; you will learn alongside professionals from renowned firms such as Jane Street, Citadel, Databricks, and Stripe.
About MercorMercor operates at the dynamic crossroads of labor markets and artificial intelligence research. We collaborate with premier AI laboratories and enterprises to deliver the critical human intelligence that is vital for AI evolution.Our extensive talent network empowers cutting-edge AI models through knowledge-sharing, experience, and contextual insights that cannot be encapsulated in code alone. Currently, our network comprises over 30,000 professionals collectively earning more than $2 million daily.At Mercor, we are pioneering a transformative category of work where specialized expertise fuels AI growth. Achieving this ambitious vision necessitates a fast-paced, dedicated team. You will engage with researchers, operators, and AI enterprises that are at the forefront of redefining societal systems.Mercor is a profitable Series C company valued at $10 billion, and our team operates in-person five days a week from our newly established San Francisco headquarters.About the RoleAs a Technical Recruiter at Mercor, you will lead the full-cycle recruitment process across essential technical roles, working closely with the VP of Engineering, CTO, and engineering leaders. Your contribution will be crucial in shaping our engineering organization as we expand one of the fastest-growing companies globally.What You’ll DoManage the complete recruitment process (sourcing to closing) for software, machine learning, infrastructure, and leadership positions.Collaborate directly with the VP of Engineering, CTO, and Engineering Managers to define staffing plans, set hiring standards, and enhance recruitment processes.Develop a robust candidate pipeline using innovative outreach strategies and Mercor's proprietary tools (structured assessments, automated work samples, and calibrated rubrics).Create assessments that effectively predict job performance and enhance signal quality.Guide hiring managers on structured interviews, candidate evaluation, and decision-making best practices.Streamline hiring systems: monitor and improve key recruitment metrics (pass-through rates, time-in-stage, source yield).Advocate for speed and quality: ensure timely debriefs, expedited offers, and an exceptional candidate experience.Enhance brand visibility: implement campaigns, referral initiatives, and events to attract outstanding engineers and operators.Serve as an external ambassador for Mercor, representing the brand to top technical candidates.Collaborate on data visualization, metrics, and process automation within Ashby and other recruitment systems.
About MercorAt Mercor, we stand at the forefront of labor markets and AI innovation. By collaborating with premier AI laboratories and enterprises, we deliver the human expertise crucial for the advancement of AI.Our extensive network of talent trains pioneering AI models akin to how educators impart knowledge: through sharing insights, experiences, and context that cannot be solely encoded. Currently, our network encompasses over 30,000 specialists who generate more than $2 million daily.We are pioneering a new realm of work where expertise fuels AI evolution. This ambitious endeavor requires a dynamic, fast-moving, and dedicated team. You will collaborate with researchers, operators, and AI firms at the leading edge of transforming societal systems.Mercor is a thriving Series C company, recently valued at $10 billion. Our team works onsite five days a week at our new headquarters in San Francisco.About the RoleAs a Growth Associate, your mission will be to connect top AI firms with specialized experts—from engineers to medical professionals—to facilitate the training and assessment of cutting-edge models. Your contributions will directly influence millions in revenue and shape the trajectory of AI. Our team operates six days a week (five days in-office at our San Francisco location).What You’ll DoSource & Recruit Experts: Utilize platforms like LinkedIn Recruiter and Sales Navigator to identify, evaluate, and recruit top-tier professionals across diverse industries.Scale Sourcing Channels: Innovate and explore new sourcing channels to broaden our reach and attract a diverse talent pool.Build Relationships: Foster and maintain robust connections with experts to ensure ongoing collaboration.Manage Talent Pipelines: Supervise multiple recruitment and sourcing pipelines to efficiently deliver qualified experts at scale.Collaborate Across Teams: Work alongside Project Managers, Product, and Engineering teams to enhance sourcing workflows and achieve outstanding results.Drive Growth: Your recruitment and sourcing initiatives will be pivotal to Mercor's rapid growth trajectory.What We’re Looking For1-2 years of relevant experience in lead generation, outbound sales, or recruitment.Proficient in LinkedIn Recruiter / Sales Navigator and other sourcing tools.Skilled in driving high conversion rates and effectively managing funnels.Exceptional communication and interpersonal abilities.A proactive mindset with a passion for talent acquisition.
Join Our Team as an Engagement ManagerAt Mercor, we are pioneering the convergence of labor markets and artificial intelligence research. Collaborating with top AI laboratories and enterprises, we provide the crucial human intelligence necessary for AI development.With a vast talent network, we train cutting-edge AI models akin to how educators nurture students, sharing invaluable knowledge, experiences, and context that cannot be encoded. Currently, our network comprises over 30,000 experts who collectively earn more than $2 million daily.We are redefining a new category of work where expertise fuels AI progress. To achieve this, we need a driven, fast-paced, and dedicated team. You will collaborate with researchers, operators, and AI companies that are at the forefront of transforming societal systems.Mercor is a successful Series C company with a valuation of $10 billion, and we operate in-person five days a week from our new headquarters in San Francisco.Your Role and ResponsibilitiesAs an Engagement Manager, you will be responsible for nurturing and expanding key customer relationships across application-layer companies, research labs, and enterprise clients. You will act as the primary contact from evaluation through delivery, working closely with technical and business stakeholders to facilitate training and deployment, troubleshoot issues, and ensure an exceptional customer experience.This position requires collaboration across product, operations, and engineering teams to effectively manage timelines, support execution, and extract insights that propel account growth. You will also play a vital role in driving revenue expansion by leading commercial processes for both new and existing customers and assisting leadership in identifying and overcoming growth obstacles in a rapidly evolving AI landscape.
Join Mercor as a Product Marketing Manager and play a pivotal role in shaping our marketing strategies and product positioning. You will collaborate closely with cross-functional teams to drive product launches, develop marketing campaigns, and enhance customer engagement. Your expertise will help us deliver compelling messages and create impactful marketing materials that resonate with our target audience.
About MercorAt Mercor, we stand at the forefront of labor markets and artificial intelligence research. By collaborating with top-tier AI laboratories and enterprises, we deliver the critical human intelligence necessary for the advancement of AI technology.Our extensive network of talented professionals facilitates the training of cutting-edge AI models, akin to how educators impart knowledge to their students—by sharing insights and experiences that transcends mere coding. Currently, our collective network of over 30,000 experts generates in excess of $2 million daily.Mercor is pioneering a transformative category of work where expertise fuels AI innovation. Realizing this vision demands a dedicated, fast-paced, and ambitious team. You will collaborate with researchers, operators, and AI firms leading the charge in reshaping societal frameworks.As a profitable Series C organization valued at $10 billion, we maintain an in-office work environment five days a week at our modern headquarters in San Francisco.About the RoleIn the position of Growth Partnerships Lead, you will develop and expand Mercor’s external partnerships from the ground up. You will manage the entire lifecycle—from identifying opportunities and sourcing partners to contract negotiations and fostering long-term relationships.This role operates at the nexus of business development, data strategy, contracting, and stakeholder engagement. It is characterized by high autonomy, strategic depth, and a resourceful approach. You will be empowered to innovate, act swiftly, and create value where none currently exists.What You’ll DoEstablish Partnerships from Ground Zero (0 → 1)Identify, connect with, design, and implement new partnership frameworks with external organizations, networks, and institutionsExperiment and refine partnership structures prior to scaling successful modelsDevelop initial guidelines and playbooks where necessaryBusiness Development & Deal ManagementOversee outbound and inbound partnership dialogues from start to finishAssess potential partners, establish mutual benefits, and guide agreements to closureCraft commercial terms that align incentives and facilitate enduring collaborationsContract Negotiation & ManagementLead negotiations covering pricing, scope, timelines, and responsibilities
Are you a creative visionary with a passion for crafting exceptional user experiences? Join mercor as a Senior Product Designer and play a pivotal role in shaping our innovative product offerings. In this exciting position located in the vibrant city of San Francisco, you will collaborate with cross-functional teams to design intuitive interfaces that resonate with our users.Your expertise will guide the design process from concept to execution, ensuring our products not only meet user needs but also set industry standards. We are looking for someone with a keen eye for detail and a commitment to enhancing overall user satisfaction.
About MercorMercor stands at the forefront of the intersection between labor markets and cutting-edge AI research. We collaborate with premier AI laboratories and industry giants to deliver the vital human intelligence necessary for AI development.Our extensive talent network trains next-generation AI models, much like educators nurture students: through the sharing of knowledge, experience, and context that cannot be encapsulated in code alone. Currently, over 30,000 experts in our network collectively generate more than $2 million daily.Mercor is pioneering a new category of work where expertise drives AI progress, necessitating a bold, fast-paced, and deeply committed team. You will collaborate with researchers, operators, and AI enterprises that are at the cutting edge of transforming society.As a profitable Series C company valued at $10 billion, we promote a vibrant in-person culture five days a week at our new headquarters in San Francisco.About the RoleAs the Senior Growth Lead, you will take full ownership of the candidate pipeline performance for Mercor’s critical initiatives. Operating with substantial autonomy, you will lead a team of Associates, making strategic decisions regarding prioritization, channel strategy, and execution.This position is perfect for someone who has mastered the core principles of sales and outbound efforts and is eager to drive impactful outcomes. While remaining hands-on, you will also influence strategy, enhance systems, and elevate the performance standards of the broader team.What You’ll DoLead Expert Sourcing Pods: Direct expert sourcing efforts for specific projects, ensuring quality, speed, and efficiency.Manage Capacity & Throughput: Strategically plan and balance your workload alongside the Growth Associates to consistently meet project demands.Optimize Sourcing Channels: Assess, experiment with, and scale sourcing channels to enhance yield and efficiency.Build & Maintain Expert Relationships: Foster long-lasting relationships with high-performing experts to encourage repeat engagement.Oversee Talent Pipelines: Manage multiple talent pipelines end-to-end, identifying bottlenecks and reallocating resources proactively.Collaborate Cross-Functionally: Liaise closely with Project Managers, Product, and Engineering teams to align sourcing strategies with project requirements.Drive Growth Outcomes: Ensure your pod achieves desired growth metrics and outcomes.
About MercorAt the forefront of labor markets and AI innovation, Mercor collaborates with premier AI laboratories and industry leaders to infuse essential human intelligence into AI development.Our extensive network of talented professionals trains advanced AI models, much like educators impart knowledge, experiences, and contexts that transcend mere coding. Currently, over 30,000 experts within our community collectively generate more than $2 million daily.Mercor is pioneering a unique work category where expertise drives AI progress, necessitating a dynamic, fast-paced, and dedicated team. You will collaborate with researchers, operators, and AI innovators who are reshaping societal systems.As a profitable Series C company valued at $10 billion, we operate five days a week from our brand-new headquarters in San Francisco.About the RoleTop AI firms in Silicon Valley partner with Mercor to locate domain experts capable of training and evaluating their models. As a Strategic Project Associate (SPA) at Mercor, you will collaborate with Strategic Project Leads to oversee the tactical execution of assignments, deliver exceptional service to clients, and independently generate millions in revenue. Your contributions will significantly influence Mercor’s long-term success. Strategic Project Associates will report directly to a Strategic Project Lead.Our Strategic Project Associate program is tailored for exceptional recent graduates (targeted graduation date of December '25 or May/June '26) and offers a brisk introduction to managing large-scale human data initiatives. Opportunities for promotion to Strategic Project Lead will be evaluated quarterly, aiming for a timeline of approximately 6-12 months.Our team is engaged six days a week, with in-office work from Monday to Friday.
About MercorAt Mercor, we're revolutionizing the future of work. We collaborate with top AI labs and enterprises to deliver the human insights crucial for AI development.Our extensive talent network trains cutting-edge AI models, much like educators nurture students: by imparting invaluable knowledge, experience, and context that transcends mere code. Currently, over 30,000 specialists in our network collectively generate more than $2 million daily.Mercor is pioneering a new category of work where expertise fuels AI progress. Achieving this vision requires a dynamic, fast-paced, and deeply dedicated team. You’ll collaborate with researchers, operators, and AI companies at the forefront of transforming systems that redefine society.As a profitable Series C company valued at $10 billion, we operate on-site five days a week in our offices located in San Francisco, NYC, or London.About the RoleIn your role as a Machine Learning Engineer on the growth team, you will develop the infrastructure that powers Mercor’s hiring engine: from indexing and global discovery to cross-platform sourcing and engagement, real-time scoring and personalization, and high-throughput conversion pipelines that transform interest into hires.What You Will Build:Low-latency ranking and matching pipelines that process thousands of signals.Global off-platform people search, job distribution, and ad/acquisition infrastructure.Production ML and feature infrastructure for personalization and incentive modeling.Real-time event and data pipelines, high-throughput APIs, and observability for mission-critical services.Who We Are Looking For: We seek engineers with a strong background in building distributed backends or ML infrastructure, demonstrated ownership of large-scale matching, indexing, recommender, or search systems; robust instincts for production, and experience with high-throughput services, monitoring, and reliability.Why Join Us: If you are looking for backend work that combines ML, distributed systems, and real revenue impact, the Growth team is where you belong.Tech Stack: Python, Go, embeddings, fine-tuning, RAG, Kafka, Postgres, Redis, Elasticsearch, Kubernetes, Terraform
Full-time|$148K/yr - $200K/yr|Hybrid|San Francisco, California, United States
About Taskrabbit:Taskrabbit is an innovative marketplace platform that seamlessly connects individuals with Taskers to manage everyday home tasks, including furniture assembly, handyman services, moving assistance, and much more.At Taskrabbit, we aim to transform lives one task at a time. We celebrate innovation, inclusion, and hard work, fostering a collaborative, pragmatic, and fast-paced culture. We seek talented, entrepreneurially minded, data-driven individuals who possess a passion for empowering others to pursue their passions. In partnership with IKEA, we are creating more opportunities for individuals to earn a consistent, meaningful income on their terms by establishing enduring relationships with clients in communities globally.Taskrabbit operates as a hybrid company, with team members located across the US and EU, and has been recognized as a Built In — Best Places to Work for 2022, 2023, and 2024, receiving accolades across various national and regional categories. Join us at Taskrabbit, where your contributions will be significant, your ideas appreciated, and your potential maximized!This position operates on a hybrid schedule, requiring two days of in-office collaboration per week. It can be based in our San Francisco office or our new New York City office (opening March 2026).About the RoleMachine Learning is a foundational element at Taskrabbit, and we are in search of an experienced Senior Machine Learning Engineer to join our team and help mold the future of ML/AI at Taskrabbit. This distinct, full-stack role is designed for someone who is enthusiastic about the entire machine learning lifecycle—from initial research and model development to constructing the robust infrastructure necessary for deploying and scaling your innovations.As a Senior Machine Learning Engineer, you will engage with exciting challenges that directly influence how users discover and interact with home services on the Taskrabbit platform. You will play a vital role in enhancing our capabilities in areas such as search ranking, content discovery, and recommendation systems. Collaborating closely with data scientists and fellow engineers, you will design and implement cutting-edge algorithms, ensuring the scalability, reliability, and optimization of our models in production alongside software engineers.
Full-time|$240K/yr - $260K/yr|On-site|San Francisco, CA
About VSCO At VSCO, we empower photographers with an innovative platform that provides essential tools, a vibrant community, and the visibility needed for creative and professional growth. We cultivate an authentic creative environment that welcomes photographers of all skill levels, offering a space that inspires opportunity, collaboration, and connection. Our mission is to support photographers in their journeys, enabling them to thrive and connect with fellow creatives and businesses through our comprehensive suite of tools, available on both mobile and desktop. We seek individuals who are passionate and proactive in advancing our mission. Our team members have the opportunity to make a significant impact, and we believe that collaborative efforts yield stronger results. Our core values are essential to our team culture and guide our hiring process. Learn more about what you can expect when joining VSCO on our Careers Page. About The Role As a Senior Machine Learning Engineer, you will harness the power of AI and machine learning to create innovative, reliable user-facing product features. You will leverage your extensive technical background and hands-on experience in deploying machine learning models to deliver impactful solutions based on real-world feedback. Your focus on measurable outcomes and customer satisfaction drives your work, blending innovation with practical implementation. You will be highly skilled in Python and adept across the data and machine learning stack, enabling you to develop and launch models efficiently while ensuring scalability and maintainability. Whether working with traditional algorithms or cutting-edge deep learning and generative AI, you will expertly navigate the complexity of each problem, managing every phase from defining the challenge to deployment and iterative improvement. Your dedication to software engineering excellence will inform your thoughtful approach to system design for machine learning, encompassing data quality, pipeline design, feature workflows, model serving, and ongoing monitoring and enhancement. By integrating machine learning deeply within our cohesive product experiences, you will collaborate effectively with cross-functional teams, aligning on objectives, defining success metrics, and driving meaningful outcomes. You will stay informed about the rapidly evolving AI landscape, maintaining a discerning perspective that allows your team to focus on significant advancements while avoiding distractions. The Day to Day Design and implement ML-powered features for search, discovery, personalization, and more.
Job OverviewJoin Eragon as a Machine Learning Engineer and lead the charge in transforming innovative AI models into scalable, production-grade systems. This position is pivotal in bridging research and real-world applications by designing and optimizing systems that enhance vital workflows throughout the enterprise.In collaboration with our research, product, and engineering teams, you will convert cutting-edge capabilities into dependable, high-performance systems ready for production.Key ResponsibilitiesModel Development & Deployment: Craft, refine, and deploy machine learning models within production settings.Systems Engineering: Architect scalable pipelines for training, inference, evaluation, and comprehensive monitoring.Performance Optimization: Enhance the latency, throughput, cost-efficiency, and reliability of ML systems.Data & Infrastructure: Manipulate large datasets and ensure seamless integration of models with internal systems and APIs.Cross-Functional Collaboration: Collaborate with product and engineering teams to provide end-to-end AI functionalities.Evaluation & Monitoring: Develop robust evaluation frameworks and feedback loops to ensure system effectiveness.
About MercorMercor operates at the dynamic intersection of labor markets and artificial intelligence research. By collaborating with top-tier AI laboratories and enterprises, we provide the vital human intelligence needed for AI development.Our extensive network of over 30,000 experts trains cutting-edge AI models in a manner akin to educators nurturing stud…
Join the Future of AI at MercorAt Mercor, we find ourselves at the dynamic intersection of labor markets and artificial intelligence research. Our collaborations with top-tier AI laboratories and corporations empower us to deliver the crucial human intelligence that fuels AI advancement.Our expansive network of talent is akin to educators nurturing students; we impart knowledge, experience, and nuances that cannot simply be encoded. Currently, over 30,000 experts within our network generate upwards of $2 million daily.We are pioneering a novel category of employment where expertise drives the evolution of AI. To realize this vision, we require a driven, fast-paced, and exceptionally dedicated team. You will collaborate with researchers, operators, and cutting-edge AI firms that are shaping the future of societal systems.Mercor is a thriving Series C enterprise, currently valued at $10 billion. Our team operates in-person, five days a week, at our state-of-the-art headquarters in San Francisco.About the RoleLeading AI companies in Silicon Valley engage with Mercor to identify domain experts capable of training and assessing their models. As an AI Researcher at Mercor, you will be tasked with pushing the boundaries of model evaluation to enhance model performance across the industry, creating tangible economic value.You will regularly publish influential papers alongside industry leaders, have access to extensive resources for crafting impactful datasets, and engage with cutting-edge evaluation and training data. Collaborating closely with Mercor’s Forward Deployed Research, Applied AI, and Operations teams will provide you with unparalleled opportunities to assess leading models.We seek an accomplished AI researcher. A demonstrated history of publications in LLM evaluations is preferred, but we also value experience with other types of model evaluations or AI-related publications.Key ResponsibilitiesDevelop benchmarks that quantify the real-world impact of AI models.Publish LLM evaluation studies in top-tier conferences with the backing of Mercor’s Applied AI and Operations teams.Advance the understanding of data ROI in model development, encompassing multi-modality, coding, tool usage, and beyond.Design and validate innovative data collection and annotation solutions for leading industry labs and major tech firms.What We’re Looking ForA PhD or M.S. with 2+ years of professional experience in computer science, electrical engineering, econometrics, or a related STEM discipline that provides a robust foundation in machine learning and model evaluation.A strong publication record in AI research, particularly in model evaluation is essential.
Join the Mercor TeamAt Mercor, we are pioneers at the crossroads of labor markets and artificial intelligence research. Collaborating with top AI labs and enterprises, we provide the crucial human intelligence that drives AI development.Our extensive talent network empowers more than 30,000 experts who collectively generate over $2 million a day, training cutting-edge AI models by sharing invaluable knowledge and context that goes beyond mere code. We are dedicated to establishing a new work paradigm where expertise fuels AI progress, and we are looking for driven individuals to join our ambitious and fast-paced team.As a profitable Series C company valued at $10 billion, Mercor emphasizes teamwork in our new San Francisco headquarters, where we work in-person five days a week.Your Role as a Data EngineerWe are seeking a passionate Data Engineer who can bring a full-stack perspective to our data functions. In this role, you will create and maintain robust data pipelines that support our Data Science, Engineering, and Product teams, ensuring seamless data flow across the Mercor organization.Your primary focus will be on data reliability, availability, and timeliness, working closely with our Data Science team and various partner functions to enhance our data capabilities.Key ResponsibilitiesDeveloping robust data pipelines to ingest, transform, and consolidate data from various sources, such as MongoDB, Airtable, and production databases.Designing dbt models and transformations to standardize and unify disparate data tables into clean, production-ready schemas.Implementing scalable and fault-tolerant data workflows using tools like Fivetran, dbt, SQL, and Python.Collaborating with engineers, data scientists, and business stakeholders to ensure data accuracy, availability, and usability.Owning data quality and reliability from ingestion to consumption across the data stack.Continuously monitoring and enhancing pipeline performance and scalability.QualificationsProven experience in data engineering, with strong proficiency in SQL, Python, and modern data stack tools such as Fivetran, dbt, Snowflake, or similar.Experience in building and maintaining large-scale data pipelines and workflows.Strong problem-solving skills and a collaborative mindset, with a focus on effective communication.
Join our innovative team at mercor as a Software Engineer specializing in Automation. In this role, you will be integral to developing and implementing automated solutions that enhance our software products and improve operational efficiency. We are looking for a passionate engineer who thrives in a collaborative environment and is eager to take on challenges that push the boundaries of technology.
Join Our Team at MercorAt Mercor, we sit at the cutting edge of labor markets and AI innovation. Collaborating with top AI laboratories and enterprises, we provide the vital human intelligence necessary for the advancement of AI development.Our extensive talent network trains advanced AI models, sharing insights and experiences that transcend mere coding. Daily, over 30,000 experts in our community collectively generate more than $2 million.Mercor is pioneering a new realm of work wherein expertise fuels AI progress. This ambition calls for a dynamic, fast-paced, and dedicated team. You will collaborate with researchers, operational teams, and AI firms at the forefront of redefining our societal systems.As a profitable Series C enterprise valued at $10 billion, we operate in-person five days a week from our newly established headquarters in San Francisco.About the RoleIn your capacity as a Security Engineer at Mercor, you will be entrusted with the crucial task of protecting our systems, infrastructure, and sensitive data. You will design and execute defense mechanisms, monitor for potential threats, and ensure that security is seamlessly integrated throughout the entire development and deployment lifecycle. This position is perfect for an individual who thrives in fast-paced settings, anticipates risks proactively, and enjoys constructing effective, scalable security systems without hindering innovation.Your ResponsibilitiesDesign and implement robust security controls across our infrastructure, applications, and networks.Continuously monitor for vulnerabilities, threats, and any suspicious activities.Conduct penetration tests, vulnerability assessments, and manage incident responses.Integrate security practices into CI/CD pipelines and development workflows.Ensure compliance with standards such as SOC 2, ISO 27001, and GDPR.Collaborate with engineers to ensure security is prioritized in system design.Research emerging threats and implement proactive countermeasures.Ideal CandidateProfound understanding of security principles, tools, and industry best practices.Experience with SIEMs, IDS/IPS, firewalls, and vulnerability scanning.Familiarity with cloud security environments (AWS, GCP, or Azure).Solid foundation in encryption and secure coding practices.
Join the Mercor TeamAt Mercor, we stand at the dynamic intersection of labor markets and AI research. Collaborating with premier AI labs and enterprises, we empower the human intelligence that is crucial for AI's evolution.Our expansive talent network plays a vital role in training cutting-edge AI models, akin to the way educators impart knowledge to their students—by sharing insights, experiences, and contextual understanding that code alone cannot convey. Currently, our network of over 30,000 experts generates more than $2 million daily.We are pioneering a novel category of work where expertise fuels AI progress. Achieving this vision necessitates an ambitious, fast-paced, and deeply dedicated team. You will collaborate with researchers, operators, and AI firms that are at the forefront of transforming societal structures.Mercor is a thriving Series C company with a valuation of $10 billion. We operate five days a week in-person at our new headquarters in San Francisco.About the RoleAs a Site Reliability Engineer (SRE) at Mercor, you will take ownership of production reliability for our critical systems, working closely with our infrastructure leadership. You will play a pivotal role in establishing our SRE function and defining how Mercor manages large-scale, high-availability systems.Your ResponsibilitiesEnsure the reliability and safety of production for key shared services and customer-facing systems.Collaborate directly with infrastructure leadership to outline SRE priorities, reliability benchmarks, and the production safety roadmap.Enhance the structure of our production systems to ensure stability, resource efficiency, isolation, and observability.Advocate for and implement modern SRE methodologies (e.g., incident management, postmortems, SLIs/SLOs) across engineering teams.Work alongside engineering and applied AI teams to facilitate sustainable growth.Promote SRE best practices internally, supporting teams in a safe, scalable, and consistent production onboarding process.Who We SeekThe ideal candidate will have:Extensive experience in genuine SRE roles (not merely operations) across various positions or organizations.A deep understanding of SRE methodologies popularized by Google (e.g., error budgets, reliability vs. risk trade-offs, large-scale distributed systems).5+ years of SRE experience; ideally, 15+ years in total experience for this inaugural SRE position.A proven track record of managing systems at scale, with a strong grasp of the complexities involved.
About MercorMercor sits at the forefront of labor markets and artificial intelligence research, collaborating with premier AI laboratories and enterprises to harness the human intelligence crucial for AI evolution.Our expansive talent network empowers the training of cutting-edge AI models, akin to how educators impart knowledge to students—sharing insights, experiences, and contexts that transcend mere code. Currently, our network comprises over 30,000 experts, generating collective earnings exceeding $2 million daily.At Mercor, we are pioneering a unique category of work where expertise fuels AI progress. Realizing this vision necessitates a bold, fast-paced, and deeply dedicated team. You will collaborate with researchers, operators, and AI firms that are at the vanguard of transforming systems that redefine society.As a profitable Series C company, Mercor is valued at $10 billion and maintains an in-office presence five days a week at our new headquarters in San Francisco.About the RoleIn your capacity as a Research Engineer at Mercor, you will operate at the intersection of engineering and applied AI research. You will play a pivotal role in post-training and Reinforcement Learning from Human Feedback (RLVR), synthetic data generation, and large-scale evaluation workflows essential for advancing frontier language models.Your contributions will help train large language models to adeptly utilize tools, exhibit agentic behavior, and engage in real-world reasoning within production environments. You will be instrumental in shaping rewards, conducting post-training experiments, and constructing scalable systems to enhance model performance. Your responsibilities will also include designing and evaluating datasets, creating scalable data augmentation pipelines, and developing rubrics and evaluators that expand the learning potential of LLMs.
Join Mercor as a Data ScientistAt Mercor, we stand at the forefront of labor markets and artificial intelligence research. We collaborate with top-tier AI laboratories and businesses to infuse the human intelligence crucial for the evolution of AI.Our expansive talent network empowers frontier AI models, mirroring the way educators impart knowledge: sharing insights and experiences that transcend mere coding. Currently, our network boasts over 30,000 experts generating more than $2 million daily.We are pioneering a new work paradigm where specialized expertise drives AI progress. To realize this vision, we seek a dynamic, fast-paced, and dedicated team. You will collaborate with leading researchers, operators, and AI companies, playing a pivotal role in the systems that are reshaping society.As a profitable Series C company, Mercor is valued at $10 billion and operates from our new headquarters in San Francisco with an in-office work schedule five days a week.Your RoleIn your first year, you will implement analyses and experiments that enhance key product metrics, including match quality, time-to-hire, candidate experience, and revenue. Your responsibilities will include:Establishing north-star and feature-specific metrics for our ranking systems, interview analytics, and payout frameworks.Designing and executing A/B tests and quasi-experiments, translating results into product decisions within the same week.Creating source-of-truth dashboards and streamlined data models to enable teams to self-serve answers.Collaborating with engineers to instrument events, enhancing data quality and latency from ingestion to insights.Rapidly prototyping models (from baseline models to gradient boosting) to optimize matching and scoring.Assisting in the evaluation of LLM-powered agents through the design of rubrics, human-in-the-loop studies, and guardrail mechanisms.What Makes You a Great FitYou possess strong foundational skills in statistics, SQL, and Python, alongside projects you are eager to showcase. You adapt swiftly, frame inquiries, test hypotheses, and deliver results within a day, valuing clarity in communication as much as statistical significance. A keen interest in LLM evaluation, retrieval, and ranking is a plus; you will learn alongside professionals from renowned firms such as Jane Street, Citadel, Databricks, and Stripe.
About MercorMercor operates at the dynamic crossroads of labor markets and artificial intelligence research. We collaborate with premier AI laboratories and enterprises to deliver the critical human intelligence that is vital for AI evolution.Our extensive talent network empowers cutting-edge AI models through knowledge-sharing, experience, and contextual insights that cannot be encapsulated in code alone. Currently, our network comprises over 30,000 professionals collectively earning more than $2 million daily.At Mercor, we are pioneering a transformative category of work where specialized expertise fuels AI growth. Achieving this ambitious vision necessitates a fast-paced, dedicated team. You will engage with researchers, operators, and AI enterprises that are at the forefront of redefining societal systems.Mercor is a profitable Series C company valued at $10 billion, and our team operates in-person five days a week from our newly established San Francisco headquarters.About the RoleAs a Technical Recruiter at Mercor, you will lead the full-cycle recruitment process across essential technical roles, working closely with the VP of Engineering, CTO, and engineering leaders. Your contribution will be crucial in shaping our engineering organization as we expand one of the fastest-growing companies globally.What You’ll DoManage the complete recruitment process (sourcing to closing) for software, machine learning, infrastructure, and leadership positions.Collaborate directly with the VP of Engineering, CTO, and Engineering Managers to define staffing plans, set hiring standards, and enhance recruitment processes.Develop a robust candidate pipeline using innovative outreach strategies and Mercor's proprietary tools (structured assessments, automated work samples, and calibrated rubrics).Create assessments that effectively predict job performance and enhance signal quality.Guide hiring managers on structured interviews, candidate evaluation, and decision-making best practices.Streamline hiring systems: monitor and improve key recruitment metrics (pass-through rates, time-in-stage, source yield).Advocate for speed and quality: ensure timely debriefs, expedited offers, and an exceptional candidate experience.Enhance brand visibility: implement campaigns, referral initiatives, and events to attract outstanding engineers and operators.Serve as an external ambassador for Mercor, representing the brand to top technical candidates.Collaborate on data visualization, metrics, and process automation within Ashby and other recruitment systems.
About MercorAt Mercor, we stand at the forefront of labor markets and AI innovation. By collaborating with premier AI laboratories and enterprises, we deliver the human expertise crucial for the advancement of AI.Our extensive network of talent trains pioneering AI models akin to how educators impart knowledge: through sharing insights, experiences, and context that cannot be solely encoded. Currently, our network encompasses over 30,000 specialists who generate more than $2 million daily.We are pioneering a new realm of work where expertise fuels AI evolution. This ambitious endeavor requires a dynamic, fast-moving, and dedicated team. You will collaborate with researchers, operators, and AI firms at the leading edge of transforming societal systems.Mercor is a thriving Series C company, recently valued at $10 billion. Our team works onsite five days a week at our new headquarters in San Francisco.About the RoleAs a Growth Associate, your mission will be to connect top AI firms with specialized experts—from engineers to medical professionals—to facilitate the training and assessment of cutting-edge models. Your contributions will directly influence millions in revenue and shape the trajectory of AI. Our team operates six days a week (five days in-office at our San Francisco location).What You’ll DoSource & Recruit Experts: Utilize platforms like LinkedIn Recruiter and Sales Navigator to identify, evaluate, and recruit top-tier professionals across diverse industries.Scale Sourcing Channels: Innovate and explore new sourcing channels to broaden our reach and attract a diverse talent pool.Build Relationships: Foster and maintain robust connections with experts to ensure ongoing collaboration.Manage Talent Pipelines: Supervise multiple recruitment and sourcing pipelines to efficiently deliver qualified experts at scale.Collaborate Across Teams: Work alongside Project Managers, Product, and Engineering teams to enhance sourcing workflows and achieve outstanding results.Drive Growth: Your recruitment and sourcing initiatives will be pivotal to Mercor's rapid growth trajectory.What We’re Looking For1-2 years of relevant experience in lead generation, outbound sales, or recruitment.Proficient in LinkedIn Recruiter / Sales Navigator and other sourcing tools.Skilled in driving high conversion rates and effectively managing funnels.Exceptional communication and interpersonal abilities.A proactive mindset with a passion for talent acquisition.
Join Our Team as an Engagement ManagerAt Mercor, we are pioneering the convergence of labor markets and artificial intelligence research. Collaborating with top AI laboratories and enterprises, we provide the crucial human intelligence necessary for AI development.With a vast talent network, we train cutting-edge AI models akin to how educators nurture students, sharing invaluable knowledge, experiences, and context that cannot be encoded. Currently, our network comprises over 30,000 experts who collectively earn more than $2 million daily.We are redefining a new category of work where expertise fuels AI progress. To achieve this, we need a driven, fast-paced, and dedicated team. You will collaborate with researchers, operators, and AI companies that are at the forefront of transforming societal systems.Mercor is a successful Series C company with a valuation of $10 billion, and we operate in-person five days a week from our new headquarters in San Francisco.Your Role and ResponsibilitiesAs an Engagement Manager, you will be responsible for nurturing and expanding key customer relationships across application-layer companies, research labs, and enterprise clients. You will act as the primary contact from evaluation through delivery, working closely with technical and business stakeholders to facilitate training and deployment, troubleshoot issues, and ensure an exceptional customer experience.This position requires collaboration across product, operations, and engineering teams to effectively manage timelines, support execution, and extract insights that propel account growth. You will also play a vital role in driving revenue expansion by leading commercial processes for both new and existing customers and assisting leadership in identifying and overcoming growth obstacles in a rapidly evolving AI landscape.
Join Mercor as a Product Marketing Manager and play a pivotal role in shaping our marketing strategies and product positioning. You will collaborate closely with cross-functional teams to drive product launches, develop marketing campaigns, and enhance customer engagement. Your expertise will help us deliver compelling messages and create impactful marketing materials that resonate with our target audience.
About MercorAt Mercor, we stand at the forefront of labor markets and artificial intelligence research. By collaborating with top-tier AI laboratories and enterprises, we deliver the critical human intelligence necessary for the advancement of AI technology.Our extensive network of talented professionals facilitates the training of cutting-edge AI models, akin to how educators impart knowledge to their students—by sharing insights and experiences that transcends mere coding. Currently, our collective network of over 30,000 experts generates in excess of $2 million daily.Mercor is pioneering a transformative category of work where expertise fuels AI innovation. Realizing this vision demands a dedicated, fast-paced, and ambitious team. You will collaborate with researchers, operators, and AI firms leading the charge in reshaping societal frameworks.As a profitable Series C organization valued at $10 billion, we maintain an in-office work environment five days a week at our modern headquarters in San Francisco.About the RoleIn the position of Growth Partnerships Lead, you will develop and expand Mercor’s external partnerships from the ground up. You will manage the entire lifecycle—from identifying opportunities and sourcing partners to contract negotiations and fostering long-term relationships.This role operates at the nexus of business development, data strategy, contracting, and stakeholder engagement. It is characterized by high autonomy, strategic depth, and a resourceful approach. You will be empowered to innovate, act swiftly, and create value where none currently exists.What You’ll DoEstablish Partnerships from Ground Zero (0 → 1)Identify, connect with, design, and implement new partnership frameworks with external organizations, networks, and institutionsExperiment and refine partnership structures prior to scaling successful modelsDevelop initial guidelines and playbooks where necessaryBusiness Development & Deal ManagementOversee outbound and inbound partnership dialogues from start to finishAssess potential partners, establish mutual benefits, and guide agreements to closureCraft commercial terms that align incentives and facilitate enduring collaborationsContract Negotiation & ManagementLead negotiations covering pricing, scope, timelines, and responsibilities
Are you a creative visionary with a passion for crafting exceptional user experiences? Join mercor as a Senior Product Designer and play a pivotal role in shaping our innovative product offerings. In this exciting position located in the vibrant city of San Francisco, you will collaborate with cross-functional teams to design intuitive interfaces that resonate with our users.Your expertise will guide the design process from concept to execution, ensuring our products not only meet user needs but also set industry standards. We are looking for someone with a keen eye for detail and a commitment to enhancing overall user satisfaction.
About MercorMercor stands at the forefront of the intersection between labor markets and cutting-edge AI research. We collaborate with premier AI laboratories and industry giants to deliver the vital human intelligence necessary for AI development.Our extensive talent network trains next-generation AI models, much like educators nurture students: through the sharing of knowledge, experience, and context that cannot be encapsulated in code alone. Currently, over 30,000 experts in our network collectively generate more than $2 million daily.Mercor is pioneering a new category of work where expertise drives AI progress, necessitating a bold, fast-paced, and deeply committed team. You will collaborate with researchers, operators, and AI enterprises that are at the cutting edge of transforming society.As a profitable Series C company valued at $10 billion, we promote a vibrant in-person culture five days a week at our new headquarters in San Francisco.About the RoleAs the Senior Growth Lead, you will take full ownership of the candidate pipeline performance for Mercor’s critical initiatives. Operating with substantial autonomy, you will lead a team of Associates, making strategic decisions regarding prioritization, channel strategy, and execution.This position is perfect for someone who has mastered the core principles of sales and outbound efforts and is eager to drive impactful outcomes. While remaining hands-on, you will also influence strategy, enhance systems, and elevate the performance standards of the broader team.What You’ll DoLead Expert Sourcing Pods: Direct expert sourcing efforts for specific projects, ensuring quality, speed, and efficiency.Manage Capacity & Throughput: Strategically plan and balance your workload alongside the Growth Associates to consistently meet project demands.Optimize Sourcing Channels: Assess, experiment with, and scale sourcing channels to enhance yield and efficiency.Build & Maintain Expert Relationships: Foster long-lasting relationships with high-performing experts to encourage repeat engagement.Oversee Talent Pipelines: Manage multiple talent pipelines end-to-end, identifying bottlenecks and reallocating resources proactively.Collaborate Cross-Functionally: Liaise closely with Project Managers, Product, and Engineering teams to align sourcing strategies with project requirements.Drive Growth Outcomes: Ensure your pod achieves desired growth metrics and outcomes.
About MercorAt the forefront of labor markets and AI innovation, Mercor collaborates with premier AI laboratories and industry leaders to infuse essential human intelligence into AI development.Our extensive network of talented professionals trains advanced AI models, much like educators impart knowledge, experiences, and contexts that transcend mere coding. Currently, over 30,000 experts within our community collectively generate more than $2 million daily.Mercor is pioneering a unique work category where expertise drives AI progress, necessitating a dynamic, fast-paced, and dedicated team. You will collaborate with researchers, operators, and AI innovators who are reshaping societal systems.As a profitable Series C company valued at $10 billion, we operate five days a week from our brand-new headquarters in San Francisco.About the RoleTop AI firms in Silicon Valley partner with Mercor to locate domain experts capable of training and evaluating their models. As a Strategic Project Associate (SPA) at Mercor, you will collaborate with Strategic Project Leads to oversee the tactical execution of assignments, deliver exceptional service to clients, and independently generate millions in revenue. Your contributions will significantly influence Mercor’s long-term success. Strategic Project Associates will report directly to a Strategic Project Lead.Our Strategic Project Associate program is tailored for exceptional recent graduates (targeted graduation date of December '25 or May/June '26) and offers a brisk introduction to managing large-scale human data initiatives. Opportunities for promotion to Strategic Project Lead will be evaluated quarterly, aiming for a timeline of approximately 6-12 months.Our team is engaged six days a week, with in-office work from Monday to Friday.
About MercorAt Mercor, we're revolutionizing the future of work. We collaborate with top AI labs and enterprises to deliver the human insights crucial for AI development.Our extensive talent network trains cutting-edge AI models, much like educators nurture students: by imparting invaluable knowledge, experience, and context that transcends mere code. Currently, over 30,000 specialists in our network collectively generate more than $2 million daily.Mercor is pioneering a new category of work where expertise fuels AI progress. Achieving this vision requires a dynamic, fast-paced, and deeply dedicated team. You’ll collaborate with researchers, operators, and AI companies at the forefront of transforming systems that redefine society.As a profitable Series C company valued at $10 billion, we operate on-site five days a week in our offices located in San Francisco, NYC, or London.About the RoleIn your role as a Machine Learning Engineer on the growth team, you will develop the infrastructure that powers Mercor’s hiring engine: from indexing and global discovery to cross-platform sourcing and engagement, real-time scoring and personalization, and high-throughput conversion pipelines that transform interest into hires.What You Will Build:Low-latency ranking and matching pipelines that process thousands of signals.Global off-platform people search, job distribution, and ad/acquisition infrastructure.Production ML and feature infrastructure for personalization and incentive modeling.Real-time event and data pipelines, high-throughput APIs, and observability for mission-critical services.Who We Are Looking For: We seek engineers with a strong background in building distributed backends or ML infrastructure, demonstrated ownership of large-scale matching, indexing, recommender, or search systems; robust instincts for production, and experience with high-throughput services, monitoring, and reliability.Why Join Us: If you are looking for backend work that combines ML, distributed systems, and real revenue impact, the Growth team is where you belong.Tech Stack: Python, Go, embeddings, fine-tuning, RAG, Kafka, Postgres, Redis, Elasticsearch, Kubernetes, Terraform
Full-time|$148K/yr - $200K/yr|Hybrid|San Francisco, California, United States
About Taskrabbit:Taskrabbit is an innovative marketplace platform that seamlessly connects individuals with Taskers to manage everyday home tasks, including furniture assembly, handyman services, moving assistance, and much more.At Taskrabbit, we aim to transform lives one task at a time. We celebrate innovation, inclusion, and hard work, fostering a collaborative, pragmatic, and fast-paced culture. We seek talented, entrepreneurially minded, data-driven individuals who possess a passion for empowering others to pursue their passions. In partnership with IKEA, we are creating more opportunities for individuals to earn a consistent, meaningful income on their terms by establishing enduring relationships with clients in communities globally.Taskrabbit operates as a hybrid company, with team members located across the US and EU, and has been recognized as a Built In — Best Places to Work for 2022, 2023, and 2024, receiving accolades across various national and regional categories. Join us at Taskrabbit, where your contributions will be significant, your ideas appreciated, and your potential maximized!This position operates on a hybrid schedule, requiring two days of in-office collaboration per week. It can be based in our San Francisco office or our new New York City office (opening March 2026).About the RoleMachine Learning is a foundational element at Taskrabbit, and we are in search of an experienced Senior Machine Learning Engineer to join our team and help mold the future of ML/AI at Taskrabbit. This distinct, full-stack role is designed for someone who is enthusiastic about the entire machine learning lifecycle—from initial research and model development to constructing the robust infrastructure necessary for deploying and scaling your innovations.As a Senior Machine Learning Engineer, you will engage with exciting challenges that directly influence how users discover and interact with home services on the Taskrabbit platform. You will play a vital role in enhancing our capabilities in areas such as search ranking, content discovery, and recommendation systems. Collaborating closely with data scientists and fellow engineers, you will design and implement cutting-edge algorithms, ensuring the scalability, reliability, and optimization of our models in production alongside software engineers.
Full-time|$240K/yr - $260K/yr|On-site|San Francisco, CA
About VSCO At VSCO, we empower photographers with an innovative platform that provides essential tools, a vibrant community, and the visibility needed for creative and professional growth. We cultivate an authentic creative environment that welcomes photographers of all skill levels, offering a space that inspires opportunity, collaboration, and connection. Our mission is to support photographers in their journeys, enabling them to thrive and connect with fellow creatives and businesses through our comprehensive suite of tools, available on both mobile and desktop. We seek individuals who are passionate and proactive in advancing our mission. Our team members have the opportunity to make a significant impact, and we believe that collaborative efforts yield stronger results. Our core values are essential to our team culture and guide our hiring process. Learn more about what you can expect when joining VSCO on our Careers Page. About The Role As a Senior Machine Learning Engineer, you will harness the power of AI and machine learning to create innovative, reliable user-facing product features. You will leverage your extensive technical background and hands-on experience in deploying machine learning models to deliver impactful solutions based on real-world feedback. Your focus on measurable outcomes and customer satisfaction drives your work, blending innovation with practical implementation. You will be highly skilled in Python and adept across the data and machine learning stack, enabling you to develop and launch models efficiently while ensuring scalability and maintainability. Whether working with traditional algorithms or cutting-edge deep learning and generative AI, you will expertly navigate the complexity of each problem, managing every phase from defining the challenge to deployment and iterative improvement. Your dedication to software engineering excellence will inform your thoughtful approach to system design for machine learning, encompassing data quality, pipeline design, feature workflows, model serving, and ongoing monitoring and enhancement. By integrating machine learning deeply within our cohesive product experiences, you will collaborate effectively with cross-functional teams, aligning on objectives, defining success metrics, and driving meaningful outcomes. You will stay informed about the rapidly evolving AI landscape, maintaining a discerning perspective that allows your team to focus on significant advancements while avoiding distractions. The Day to Day Design and implement ML-powered features for search, discovery, personalization, and more.
Job OverviewJoin Eragon as a Machine Learning Engineer and lead the charge in transforming innovative AI models into scalable, production-grade systems. This position is pivotal in bridging research and real-world applications by designing and optimizing systems that enhance vital workflows throughout the enterprise.In collaboration with our research, product, and engineering teams, you will convert cutting-edge capabilities into dependable, high-performance systems ready for production.Key ResponsibilitiesModel Development & Deployment: Craft, refine, and deploy machine learning models within production settings.Systems Engineering: Architect scalable pipelines for training, inference, evaluation, and comprehensive monitoring.Performance Optimization: Enhance the latency, throughput, cost-efficiency, and reliability of ML systems.Data & Infrastructure: Manipulate large datasets and ensure seamless integration of models with internal systems and APIs.Cross-Functional Collaboration: Collaborate with product and engineering teams to provide end-to-end AI functionalities.Evaluation & Monitoring: Develop robust evaluation frameworks and feedback loops to ensure system effectiveness.
