Location: San Francisco, Bay Area, CAEmployment Type: ContractAbout UsSustainable Talent specializes in providing adaptable workforce solutions, linking elite talent with prominent global enterprises. We collaborate with some of the world's most innovative companies to assist them in expanding their teams with the right expertise. This role is with one of our esteemed high-tech clients, a frontrunner in AI technology and digital transformation, dedicated to leveraging advanced data science and machine learning to address complex issues.About the RoleWe are looking for a Senior Python Developer who will be responsible for developing and optimizing applications that facilitate machine learning and data science projects. You will focus on constructing scalable data pipelines, deploying AI models, and ensuring optimal performance and efficiency in production settings. Close collaboration with data scientists and cross-functional teams will be essential for transitioning research into practical solutions. If you are enthusiastic about AI, cloud technologies, and writing clean, efficient code, this is an exceptional opportunity to engage in groundbreaking innovation.What You’ll DoDevelop and optimize Python-based applications that support data science and machine learning initiatives.Implement and deploy machine learning models utilizing TensorFlow, PyTorch, and Scikit-learn.Design and construct scalable data pipelines to preprocess and transform large datasets for AI/ML applications.Collaborate closely with data scientists to convert research into production-ready ML solutions.Develop predictive analytics and deep learning solutions to enhance business intelligence and decision-making.Ensure model performance optimization and scalability in production environments.Integrate ML models into cloud-based platforms (AWS, GCP, Azure) and microservices architectures.Write clean, efficient, and well-documented Python code adhering to software engineering best practices.Collaborate with cross-functional teams to drive innovation and improve AI-driven products.What We’re Looking For7+ years of software engineering experience with a strong focus on Python development.Proven expertise in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.Experience in developing scalable data pipelines and cloud-based architectures.Strong problem-solving skills and ability to work in a collaborative environment.Excellent communication skills and a passion for AI technologies.

Join DigitalOcean as a Senior Solutions Architect II specializing in AI and Machine Learning. In this pivotal role, you will leverage your expertise to design and implement innovative solutions that drive our customers' success. You'll collaborate with cross-functional teams to ensure our clients harness the full potential of our cloud services, enabling them to scale and optimize their operations effectively.

At Runway ML, we are revolutionizing the intersection of art and science through innovative AI technology. Our mission is to build sophisticated world models that transcend traditional artificial intelligence limitations. We believe that to tackle the most pressing challenges—such as robotics, disease, and scientific breakthroughs—we need systems that can learn from experiences just like humans do. By simulating these experiences, we can expedite progress in ways that were previously unimaginable.Our diverse and driven team consists of creative thinkers who are passionate about pushing boundaries and achieving the extraordinary. If you share this ambition and are eager to contribute to our groundbreaking work, we invite you to join us.About the Role*We are open to hiring remotely across North America. We also have offices in NYC, San Francisco, and Seattle.We are on the lookout for a highly skilled and intellectually inquisitive Technical Accounting Manager to be our go-to authority on intricate accounting issues. This position offers significant visibility and is ideal for a professional adept at interpreting complex accounting guidelines, formulating sound conclusions, and translating technical insights into practical accounting practices.

Join our dynamic team at Cloudflare as a Senior/Principal Systems Engineer specializing in Workers AI (AI/ML). In this pivotal role, you will leverage your expertise in artificial intelligence and machine learning to develop cutting-edge solutions that enhance our platform's capabilities. You will collaborate with cross-functional teams to drive innovation and improve our systems, ensuring we remain at the forefront of technology.

Join Varomoney as a Principal AI/ML Architect, where you will lead groundbreaking projects that leverage artificial intelligence and machine learning to transform financial services. Your expertise will guide our engineering teams in developing innovative solutions that not only meet but exceed client expectations. You will be at the forefront of AI/ML technology, driving strategic initiatives and ensuring the highest standards of technical excellence.

About the CompanyLavendo is a pioneering publicly traded company leading the charge in the AI revolution. With an AI-centric cloud platform, we are transforming the artificial intelligence landscape. Our state-of-the-art infrastructure, including extensive GPU clusters and advanced cloud services, supports developers in harnessing the explosive growth of the global AI industry, catering to Fortune 1000 firms, innovative startups, and AI researchers alike.Company type: Publicly tradedIndustry: AI/ML, Cloud Computing, Infrastructure-as-CodeCandidate Location: Remote U.S.Our mission is to democratize AI infrastructure access and empower organizations to innovate, optimize, and deploy AI solutions seamlessly at any scale. By simplifying the complexities of AI development, we provide a comprehensive full-stack AI platform that marries robust hardware with easy-to-use tools and services.The OpportunityWe are on the lookout for a Senior AI/ML Specialist Solutions Architect to become a crucial part of our client's dynamic team. This role presents an exciting opportunity to design and implement scalable AI solutions tailored for AI-centric clients, leveraging cutting-edge technologies and contributing to one of the most powerful commercially available supercomputers.What You'll DoArchitect and enhance distributed training and inference systems for large-scale AI models.Design and deliver customer-centric solutions that optimize performance and drive business value.Lead the migration of ML pipelines from Proof of Concept to scalable production environments.Foster long-term relationships with clients, ensuring satisfaction and alignment with their strategic objectives.Produce whitepapers, conduct technical presentations, and facilitate webinars to disseminate insights and best practices.Provide technical guidance and mentorship to teams regarding AI infrastructure and deployment strategies.Collaborate with engineering and product teams to prioritize customer feedback and shape product roadmaps.

About Pinterest:At Pinterest, our platform inspires millions of people around the globe to explore creative ideas, envision new possibilities, and create lasting memories. We are dedicated to providing the inspiration needed to build a fulfilling life, starting with the talented individuals who drive our product development.Join us in a career that sparks innovation for millions, transforms passion into opportunities for growth, and celebrates the diverse experiences of our team members, all while enjoying the flexibility to perform at your best. Building a career you love is within reach.Position Overview:We are looking for a Senior Engineering Manager to spearhead our AI/ML Serving Platform team, which develops the core tools and infrastructure utilized by numerous AI/ML engineers across Pinterest. This includes systems for recommendations, advertisements, visual search, notifications, and trust and safety. Our goal is to enhance the efficiency, quality, and speed of AI/ML systems, ensuring they are production-ready and reliable for iterative model development.Key Responsibilities:Lead the team in driving continuous improvements in advanced model architectures, optimizing resource usage, and boosting AI/ML developer productivity.Establish the technical vision for the team aligned with company and organizational priorities.Mentor and cultivate talent within the team.Qualifications:Proven experience in managing engineering teams with diverse cross-organizational clients.Expertise in developing large-scale distributed serving systems.Familiarity with AI/ML inference technologies (e.g., PyTorch, TensorFlow) for web-scale online serving.Bachelor's degree in Computer Science or a related field, or equivalent professional experience.

ML/AI Research Engineer - Founding Team at Agentic AI LabLocation: San Francisco Bay AreaType: Full-TimeCompensation: Competitive salary + meaningful equity (founding tier)At fabrion, backed by 8VC, we are assembling a top-tier team dedicated to addressing one of the most pressing infrastructure challenges in the industry.About the RoleJoin us in shaping the future of enterprise AI infrastructure, focusing on agents, retrieval-augmented generation (RAG), knowledge graphs, and multi-tenant governance.As an ML/AI Research Engineer, you will spearhead the design, training, evaluation, and optimization of agent-native AI models. Your work will integrate LLMs, vector search, graph reasoning, and reinforcement learning, establishing the intelligence layer for our enterprise data fabric.This role goes beyond prompt engineering; it encompasses the entire ML lifecycle—from data curation and fine-tuning to thorough evaluation, interpretability, and deployment, all while considering cost-effectiveness, alignment, and agent coordination.Core ResponsibilitiesFine-tune and assess open-source LLMs (e.g., LLaMA 3, Mistral, Falcon, Mixtral) for enterprise applications, leveraging both structured and unstructured data.Construct and enhance RAG pipelines utilizing LangChain, LangGraph, LlamaIndex, or Dust, integrating with our vector databases and internal knowledge graphs.Train agent architectures (ReAct, AutoGPT, BabyAGI, OpenAgents) using enterprise task datasets.Develop embedding-based memory and retrieval chains employing token-efficient chunking strategies.Create reinforcement learning pipelines to enhance agent behaviors (e.g., RLHF, DPO, PPO).Establish scalable evaluation harnesses for LLM and agent performance, including synthetic evaluations, trace capture, and explainability tools.Contribute to model observability, drift detection, error classification, and alignment efforts.Optimize inference latency and GPU resource utilization across both cloud and on-premises environments.Desired ExperienceModel Training:Deep understanding of machine learning principles and hands-on experience with model training.

About UsAt Lemurian Labs, we are dedicated to democratizing AI technology while prioritizing sustainability. Our mission is to create solutions that minimize environmental impact, ensuring that artificial intelligence serves humanity positively. We are committed to responsible innovation and the sustainable growth of AI.We are in the process of developing a state-of-the-art, portable compiler that empowers developers to 'build once, deploy anywhere.' This technology ensures seamless cross-platform integration, allowing for model training in the cloud and deployment at the edge, all while maximizing resource efficiency and scalability.If you are passionate about scaling AI sustainably and are eager to make AI development more powerful and accessible, we invite you to join our team at Lemurian Labs. Together, we can build a future that is innovative and responsible.The RoleWe are seeking a Senior ML Performance Engineer to take charge of designing and leading our Performance Testing Platform from inception. In this pivotal role, you will be recognized as the technical expert in measuring, validating, and enhancing the performance of large language models (including Llama 3.2 70B, DeepSeek, and others) prior to and following compiler optimization on cutting-edge GPU architectures.This is a critical position that will significantly impact our product quality and customer success. You will work at the intersection of Machine Learning systems, GPU architecture, and performance engineering, constructing the infrastructure that substantiates the value of our compiler.

About FaireFaire is revolutionizing the wholesale marketplace, advocating for local businesses by connecting independent retailers worldwide. We believe in the power of local entrepreneurship, where independent shops can thrive and compete against giants like Walmart and Amazon. Our innovative technology, data analytics, and machine learning empower these businesses to discover unique products that resonate with their communities. By supporting local economies, we are committed to driving positive change globally. Join us in our mission to empower local businesses and make a difference!About this RoleAs a vital member of our Ads Data team, you will play a crucial role in developing cutting-edge advertising solutions for the wholesale sector. You will influence the design and functionality of our auction system, focusing on bidding strategies, pacing, pricing, and budget optimization. Utilizing our proprietary conversion data, you will train models that yield significant business outcomes for our partners. This is an exceptional opportunity to make a substantial impact in a rapidly growing division that is a key strategic focus for Faire.Collaborating with engineers, product managers, and designers, you will contribute to systems that not only demonstrate technical sophistication but also enhance profitability for both our brands and Faire.

Our MissionAt Altos Labs, our mission is to rejuvenate cellular health and resilience, reversing diseases, injuries, and the disabilities that can accompany life's journey.Learn more about us at altoslabs.com.Our ValueWe embody a singular Altos value: Everyone Owns Achieving Our Inspiring Mission.Diversity at AltosWe recognize that diverse perspectives are essential for scientific innovation. At Altos, exceptional scientists and industry leaders collaborate to further our shared mission. We prioritize a culture of belonging, ensuring all employees feel valued for their unique contributions. Together, we are accountable for fostering a diverse and inclusive workplace.Your Contributions to AltosAs a Senior Project Manager, you will be integral in facilitating the planning, execution, and successful delivery of multiple interdisciplinary projects within the Institute of Computation (IoC). Your role will be pivotal in ensuring seamless cross-functional collaboration, operational efficiency, and effective progress tracking to propel Altos’ mission forward. This position offers an exciting opportunity to thrive in a fast-paced, innovative environment where teamwork and creativity lead to impactful outcomes.

Draup, based in San Francisco, is an AI company with Series A funding that builds intelligence solutions for large enterprises. The platform analyzes over 1 billion job descriptions and 850 million professional profiles, serving more than 250 enterprise clients, including several Fortune 10 companies. Draup’s data comes from more than 100 labor databases, supporting clients with deep workforce insights. Role overview The engineering team in Silicon Valley is expanding. Draup seeks experienced AI/ML Engineers interested in advancing both research and product development in artificial intelligence. What you will do Develop and maintain production-grade large language model (LLM) pipelines and agentic workflows. Design and enhance retrieval-augmented generation (RAG) architectures at scale, using vector databases such as Pinecone, FAISS, and Weaviate. Implement advanced agentic systems with tools like LangGraph or LlamaIndex, focusing on tool use, multi-agent coordination, and reasoning loops. Lead prompt engineering, manage model versioning, oversee evaluation (including RAGAS and DeepEval), and instrument LLMOps. Integrate AI features into large-scale data pipelines, ensuring observability in production and compliance with guardrails. Location This position is based in San Francisco, CA (Silicon Valley).

Join AfterQuery as an AI/ML Research Intern and immerse yourself in groundbreaking artificial intelligence projects. This internship is designed for exceptional undergraduate and master's students eager to collaborate with our research team on advanced reasoning and agentic models. You will have the opportunity to access specialized datasets and work closely with industry experts, contributing to exciting AI research that could lead to co-authored papers and presentations at prestigious AI conferences.We invite students currently enrolled in relevant programs to apply. This role requires a commitment of 10 to 40 hours per week, adaptable to the needs of the company.

Join our dynamic team at 360IT Professionals as a Python Developer. We are looking for a passionate individual to contribute to innovative projects that drive our technology forward. The ideal candidate will possess a strong foundation in Python programming, and be eager to tackle challenging problems while collaborating with a talented team.

Role Overview Sigma Computing is building the next generation of data interaction. The platform lets users explore and analyze billions of data rows in seconds, all within a familiar spreadsheet-like interface. Sigma aims to make it simple to analyze, present, and build data-driven applications at scale. AI is central to Sigma's vision for the future. The company is expanding its use of artificial intelligence to help users build in Sigma, surface insights, and make decisions faster. What You Will Do As a Senior AI/ML Engineer, join a team focused on shaping the AI architecture behind Sigma's platform. This work directly impacts thousands of enterprises that depend on Sigma for their data workflows. The team is responsible for designing and implementing the systems that will power Sigma's AI-driven features for years to come. Location This position is based in San Francisco, CA.

About Us:At Parafin, our mission is to empower small businesses to thrive in today's competitive landscape. We understand that small businesses form the backbone of our economy, yet they often face challenges in accessing essential financial resources. Our innovative technology streamlines access to vital financial tools directly on the platforms they already utilize for sales. Partnering with industry leaders such as DoorDash, Amazon, Worldpay, and Mindbody, we provide small businesses with fast, flexible funding, efficient spend management, and effective savings solutions through simple integrations. Parafin manages the complexities of capital markets, underwriting, servicing, compliance, and customer support to ensure seamless experiences for our partners and their small business clients.We are composed of a dynamic team of innovators with backgrounds from top firms like Stripe, Square, Plaid, Coinbase, Robinhood, and CERN, all driven by a passion for developing tools that facilitate small business success. Backed by esteemed venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital, Parafin stands as a Series C company with over $194M raised in equity and $340M in debt facilities. Join us in shaping a future where every small business has access to the financial tools they need.About The PositionWe are on the lookout for a skilled Software Engineer to join our Infrastructure team and spearhead the advancement of our Machine Learning (ML) Platform. This pivotal role is essential for constructing reliable, scalable, and developer-centric systems for model experimentation, training, evaluation, inference, and retraining that drive underwriting and other ML-powered products for small businesses.As a Software Engineer, you will design, build, and maintain the core frameworks and platforms that empower data scientists to deploy high-quality models into production efficiently and safely. You'll work closely with Data Science and Platform Engineering, taking ownership of the ML platform from end-to-end, and develop both batch and real-time underwriting infrastructure.What You'll DoTransform notebooks into reliable software. Break down data scientist training and inference notebooks into reusable, well-tested components (libraries, pipelines, templates) with clear interfaces and documentation.Develop user-friendly ML abstractions. Create SDKs, CLIs, and templates that simplify the definition of features, model training and evaluation, and deployment to batch or real-time targets with minimal boilerplate.Construct our real-time ML inference platform. Establish and scale low-latency model serving capabilities.Enhance batch ML inference processes. Optimize scheduling, parallelism, cost controls, and observability to improve efficiencies.

About AbridgeAbridge, founded in 2018, is dedicated to enhancing understanding within healthcare. Our innovative AI-driven platform is designed specifically for medical conversations, streamlining clinical documentation while allowing clinicians to concentrate on their primary focus—their patients.Our robust technology converts patient-clinician dialogues into structured clinical notes in real-time, integrating seamlessly with EMR systems. Thanks to Linked Evidence and our specially designed, auditable AI, we uniquely align AI-generated summaries with ground truth, enabling providers to trust and verify outputs swiftly. As trailblazers in generative AI for healthcare, we are establishing industry standards for the ethical application of AI across health systems.Our diverse team comprises practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers collaborating to empower individuals and enhance the clarity of care. Our offices are located in the vibrant Mission District of San Francisco, the bustling SoHo area of New York, and East Liberty in Pittsburgh.The RoleThe success of Abridge hinges on delivering the most accurate, personalized, and clinically relevant notes, forming the cornerstone of our product strategy. The quality of our notes is vital for clinician trust and our ability to expand into additional workflows. This role is pivotal in ensuring the quality and personalization of all notes.The Note Generation team is central to this mission, overseeing the models that drive documentation, quality measurement systems at scale, and specialty and workflow engines that guarantee our outputs align with diverse clinical practices.We seek a visionary product leader to direct the product vision, strategy, and execution for Note Generation. You will lead a team of Product Managers and collaborate closely with engineering, machine learning, design, clinical leaders, and our specialty councils. You will establish the standard for note quality, shape our model and evaluation roadmap, and ensure we deliver both essential and distinctive capabilities required to dominate the market.What You’ll DoLead AI product strategy for Note Generation. Define the long-term strategy for Abridge’s core note models and evaluation stack.Oversee the evaluation platform and measurement systems. Create a world-class note quality evaluation system utilizing human annotation, LLM judges, automated backtesting, and production analytics. Collaborate with ML and engineering teams to ensure reliable benchmarks, continuous validation, and rapid iteration cycles.Drive innovation and best practices. Continuously enhance our product offerings and lead cross-functional initiatives to ensure our solutions remain at the forefront of AI in healthcare.

About FaireFaire is a cutting-edge online wholesale marketplace driven by the belief that the future is local. Independent retailers around the world generate more revenue than giants like Walmart and Amazon combined, yet individually, they often struggle against these behemoths. At Faire, we harness the power of technology, data, and machine learning to connect this vibrant community of entrepreneurs globally. Imagine your favorite local boutique; we empower them to discover and sell exceptional products from around the world. With the right tools and insights, we aim to level the playing field, allowing small businesses to compete effectively with large retail chains and e-commerce platforms.By fostering the growth of independent businesses, Faire is making a positive economic impact in local communities worldwide. We’re in search of intelligent, resourceful, and passionate individuals to join us in driving the shop-local movement. If you share our belief in community, we would love to welcome you to ours.About this Role:We are on the lookout for a Principal ML / AI Engineer to serve as a company-wide technical thought leader and practitioner in shaping the future of Data and AI at Faire. This unique opportunity allows you to influence broad technical strategies across data, engineering, and product while engaging directly with pioneering AI research and applications. This role will report directly to the CTO of Faire.Your Responsibilities:Shape the AI Vision – Collaborate with product, design, strategy & analytics, machine learning, and the wider engineering leadership to define how AI can unlock transformational value for Faire’s retailers and brands. Provide thought leadership to guide company-wide priorities, particularly focusing on product strategy and key investment areas.Prototype and Unblock – Lead the development and implementation of AI systems (such as LLM fine-tuning, RLHF, agent frameworks, etc.) that illustrate what’s achievable and promote adoption across teams. Act as a “super individual contributor” who can delve deeply into technical challenges, enabling the engineering organization to advance quickly with AI and amplify both development and impact.Architect the AI-Ready Stack – Design Faire’s technical ecosystem, encompassing event logging, data warehouses, feature stores, and model serving, to ensure our infrastructure is AI-ready, scalable, and optimized for rapid experimentation.

Pallet is seeking a dynamic and innovative Deployment Strategist to join our team, focusing on Artificial Intelligence and Machine Learning products. In this role, you will collaborate with cross-functional teams to deliver cutting-edge solutions that drive impactful outcomes for our clients. Your expertise in deploying AI/ML technologies will be critical in shaping the future of our product offerings.