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Our VisionAt ReflectionAI, we are on a mission to develop open superintelligence and ensure its accessibility for everyone.We are creating open weight models tailored for individuals, agents, enterprises, and even nation-states. Our dedicated team comprises AI researchers and innovators from renowned organizations like DeepMind, OpenAI, Google Brain, Meta, C…

Our VisionAt ReflectionAI, we aim to create open superintelligence and ensure its availability to everyone. Our team, comprised of leading AI researchers and industry innovators from renowned organizations like DeepMind, OpenAI, Google Brain, Meta, and Character.AI, is on a mission to develop open-weight models that cater to individuals, agents, enterprises, and even nations.Role OverviewThe HR Business Partner will act as a strategic consultant to both technical and non-technical leaders. This critical position focuses on enhancing organizational effectiveness, fostering high-performance cultures, and guiding management through intricate people-related decisions.This pivotal role will lay the groundwork for the HRBP function, creating essential management toolkits, refining organizational design, advising on performance metrics, and facilitating connections between leadership and the broader People team. You will play a key role in ensuring our growth is intentional, high-performing, and well-judged, while establishing a robust foundation for future organizational expansion.Your ResponsibilitiesStrategic Leadership PartnershipCollaborate with leaders to enhance team effectiveness and organizational vitality.Provide insights on organizational design, role definition, and team structuring.Assist in workforce planning in alignment with business goals.Coach managers on performance feedback, accountability, and effective leadership practices.Support leaders in navigating change and scalability challenges.Performance & Talent ManagementGuide managers through performance assessments, calibration processes, and promotion considerations.Maintain high performance standards and consistency across all teams.Facilitate talent planning and succession discussions.Assist in performance improvement strategies and complex personnel decisions.Ensure that decisions are made thoughtfully, consistently, and are well-documented.Develop scalable frameworks for performance management and separation practices.Building for GrowthIdentify deficiencies in people practices and implement practical, scalable solutions.Partner with leaders to drive organizational health and performance.

Our VisionAt ReflectionAI, we strive to create open superintelligence and ensure its accessibility for everyone.Our team is dedicated to developing open weight models for individuals, organizations, and even nations. Our collective expertise comes from leading AI institutions such as DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic, and more.Role OverviewConduct research and develop solutions focusing on algorithms, scaling laws, data processing, optimizers, and model architecture.Design and execute scientific experiments to enhance our understanding of scaling large language models and improving data efficiency.Apply cutting-edge techniques from the deep learning literature to our projects.Independently lead small research initiatives while collaborating on larger projects.Enhance our training infrastructure for optimal scaling efficiency.Contribute across the entire technology stack, from low-level optimizations to high-level model design.Your ProfilePossess a graduate degree (MS or PhD) in Computer Science, Machine Learning, or a related field.Demonstrate strong software engineering skills with experience in large-scale systems development.Have prior experience with large-scale ETL processes and preparing training data.Possess a deep understanding of large-scale machine learning, specifically regarding language models, distributed training, and scaling.Be proficient in Python and familiar with deep learning frameworks, preferably PyTorch.Effectively navigate the trade-offs between research goals and practical engineering challenges.Excel in a fast-paced, high-agency startup culture with a proactive approach.Exhibit strong communication skills and a collaborative mindset.Show a passion for pushing the boundaries of intelligence.What We Provide:We believe that building truly open superintelligence starts with a solid foundation. Joining ReflectionAI means being part of a tightly-knit, highly talented team, where you will help shape our future and redefine the landscape of open foundational models.

Our MissionAt ReflectionAI, we are dedicated to creating open superintelligence and ensuring its accessibility for everyone.Our innovative open weight models cater to individuals, enterprises, agents, and nations. Our team includes AI experts and visionaries from renowned organizations like DeepMind, OpenAI, Google Brain, Meta, Character.AI, and Anthropic.About the RoleWe are seeking a dynamic Compensation Manager to oversee and enhance our compensation and benefits programs. You will ensure that our compensation practices are competitive, fair, and aligned with our business strategies while establishing scalable total rewards frameworks that support growth. This role involves implementing, refining, and maintaining Reflection’s Total Rewards philosophies. As you grow in this position, you will become a trusted advisor to executive stakeholders, shaping our approach to pay, equity, incentives, and market competitiveness.You will thrive in a fast-paced environment that values both speed and precision, skillfully balancing thorough risk assessment with pragmatic decision-making that keeps our business advancing.ResponsibilitiesCompensation OwnershipManage compensation bands, benchmarking, and pay governanceCollaborate on offer approvals and workforce planningMonitor internal equity and market competitivenessPerformance & Pay CyclesLead annual and off-cycle compensation review processesTranslate performance evaluations into merit and promotion decisionsProvide insightful compensation analytics to leadershipBenefits AdministrationOversee benefits programs in collaboration with our PEOEvaluate and recommend enhancements as we scaleAssist with future planning for a standalone benefits structureTotal Rewards IntegrationWork cross-functionally on equity and total rewards designMaintain a comprehensive view of cash and equity competitiveness

ABOUT USAt Applied Compute, we are pioneers in developing Specific Intelligence for enterprises, creating agents that learn continuously from a company’s processes, data, expertise, and objectives. Our mission is to establish a continual learning platform that captures context, memory, and decision traces throughout the organization, enabling specialized agents to perform meaningful tasks.Why Join Us: Our team operates at a unique intersection of innovation. Our product team is responsible for crafting a platform that serves as the backbone for a new generation of digital coworkers. Meanwhile, our research team explores the cutting edge of post-training and reinforcement learning to enhance product experiences. Our applied research engineers collaborate closely with clients to deploy agents effectively in real-world scenarios. This synergy of robust product development, extensive research, and direct client engagement is essential for us to revolutionize AI in the enterprise landscape.Our Team: Comprising engineers, researchers, and operations experts, our team includes many former founders with extensive experience. We have developed RL infrastructure at OpenAI, data foundations at Scale AI, and other systems at companies like Two Sigma and Watershed. We proudly serve Fortune 50 clients and are supported by top-tier investors including Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.Who Thrives Here: We seek individuals passionate about utilizing cutting-edge research and complex systems to address real-world challenges. Comfort navigating diverse environments, whether it’s a new codebase, unfamiliar customer data architecture, or unexplored problem domains, is essential. Our team values genuine client engagement — listening, empathizing, and understanding the realities of work in their organizations. Those with entrepreneurial spirits, rich project experiences, or proven capabilities to manage tasks end-to-end will excel in our environment.THE POSITIONAs a Software Engineer, you will be instrumental in building the products and interfaces utilized by customers and internal teams. You will manage the entire application platform stack, from collaborative human-AI workspace systems to backend workflows orchestrating sandboxed agent sessions, and the continual learning SDK that provides engineers with oversight of the agent development lifecycle.

Our MissionAt ReflectionAI, we are committed to developing open superintelligence that is accessible to everyone. Our innovative approach involves creating open weight models that cater to individuals, enterprises, and even nation states. Our talented team comprises AI researchers and industry veterans from renowned organizations like DeepMind, OpenAI, Google Brain, Meta, Character.AI, and Anthropic.The RoleWe are seeking a skilled Full-Cycle Recruiter to take charge of the entire recruitment process for General & Administrative (G&A) and Go-To-Market (GTM) positions. You will collaborate closely with hiring managers from Finance, People, Legal, Operations, Sales, Marketing, and Partnerships to build high-performing teams essential for scaling our business. This role offers a unique opportunity to shape the non-technical foundation of a thriving AI company.What You'll DoManage end-to-end recruitment for G&A and GTM teams, including areas such as Finance, People Operations, Legal, Sales, Marketing, Business Development, and Partnerships.Utilize platforms like LinkedIn Recruiter, Gem, and innovative outreach strategies to identify and attract top talent.Design and implement sourcing strategies targeting candidates from leading tech companies and startups.Work closely with hiring managers to define role requirements, align on candidate profiles, and streamline hiring processes.Establish and nurture a strong pipeline of passive candidates for key business roles.Monitor and analyze recruitment metrics to enhance time-to-fill, quality of hire, and overall candidate experience.Act as a representative of Reflection's mission and culture to candidates, promoting our employer brand.

About UsAt Applied Compute, we specialize in developing Specific Intelligence tailored for enterprises. Our innovative agents are designed to continuously learn from a company’s processes, data, expertise, and objectives. Currently, there exists a significant disparity between the capabilities of AI models in isolation and their reliable performance within real business environments. These systems often fail to adapt to feedback. We are creating a continual learning layer: a robust platform that captures context, memory, and decision-making traces throughout the enterprise, fostering an environment where specialized agents can effectively perform real work.Why Join Us? We are at a unique crossroads in technology. Our product team is focused on developing the platform that will enable a new generation of digital coworkers. Our research team is at the forefront of advancing post-training and reinforcement learning, leading to groundbreaking product experiences. Our applied research engineers work closely with customers, assisting them in deploying models into production. This blend of strong product focus, deep research, and direct customer engagement is our belief in how to advance AI in the enterprise. We take pride in being product-led, research-enabled, and forward-deployed.Our Culture: Our team is composed of engineers, researchers, and operators, many of whom are former founders. We have developed RL infrastructure at OpenAI, created data foundations at Scale AI, and built systems at Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, as well as companies like DoorDash, Mercor, and Cognition. We are fortunate to have backing from leading investors such as Benchmark, Sequoia, and Lux.Ideal Candidates: We are seeking individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. You should feel at ease navigating unfamiliar environments—be it a new codebase, a customer’s data architecture, or an entirely new problem domain. A genuine enjoyment in working with customers—listening, empathizing, and understanding their workflows—is essential. We find that former founders, individuals with numerous side projects, or those who have demonstrated an ability to take ownership of projects from start to finish thrive in our environment.The RoleAs a Product Engineer, you will be instrumental in building the platform that supports a new era of digital coworkers, equipping human knowledge workers with the leverage similar to what coding agents provide developers today. This role is pivotal as you will manage projects from inception to completion within our continual learning platform and work closely with both Applied Research and Research Systems, ultimately helping define a new category of technology. Your work will encompass the entire technology stack, including cloud-hosted sandbox environments and enterprise-grade solutions.

Join Us in Shaping the Future of AI!If you are passionate about our innovative work but don't see a specific role that fits your profile, we encourage you to apply here. At Applied Compute, we prioritize collaborating with exceptional individuals who resonate with our mission.About UsWe specialize in developing Specific Intelligence for enterprises, creating agents that perpetually learn from a company's processes, data, expertise, and objectives. Despite advancements in AI, there remains a significant disparity between the capabilities of AI models in isolation and their performance within real-world business contexts. Our solution is to build a continual learning layer—a platform that captures context, memory, and decision pathways across enterprises, enabling specialized agents to effectively perform tasks.Our ExcitementWe operate at an extraordinary intersection of innovation. Our product team designs the platform that fuels a new generation of digital colleagues, while our research team explores the cutting-edge of post-training and reinforcement learning to enhance product experiences. Our applied research engineers collaborate closely with customers to implement models in production. This unique blend of strong product focus, in-depth research, and hands-on engagement with customers is essential for integrating AI into enterprises. We pride ourselves on being product-led, research-enabled, and forward-deployed.Our TeamOur team comprises engineers, researchers, and operators, many of whom are former founders. We have experience building RL infrastructure at OpenAI, data foundations at Scale AI, and systems at Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, including DoorDash, Mercor, and Cognition, and are supported by renowned investors like Benchmark, Sequoia, and Lux.Who Thrives HereWe seek individuals eager to apply groundbreaking research and complex systems to tackle real-world challenges. You should be adept at quickly navigating unfamiliar environments, whether it's a new codebase, a customer's data architecture, or an entirely new problem domain. A genuine passion for working with customers—listening, empathizing, and understanding their organizational workflows—is essential. Those with a background as former founders, experience in numerous side projects, or a strong ability to manage tasks end-to-end typically excel in our environment.

About UsAt Applied Compute, we are pioneering the development of Specific Intelligence for enterprises, creating agents that continuously learn from a company’s processes, data, expertise, and objectives. Our mission is to bridge the gap between isolated AI capabilities and their effective application within real business environments. Traditional AI systems often fall short as they lack the ability to adapt based on feedback. Our innovative continual learning layer captures context, memory, and decision-making processes across the enterprise, enabling specialized agents to engage in meaningful work.What Excites Us: We operate at the exciting intersection of product development and cutting-edge research. Our product team designs the platform that empowers a new generation of digital coworkers, while our research team drives advancements in post-training and reinforcement learning to enhance user experiences. As an applied research engineer, you will work directly with clients to implement models in production, combining robust product development with deep research insights to facilitate AI integration in enterprises.Meet Our Team: Our diverse team consists of engineers, researchers, and operators, many of whom are former founders. We have previously built reinforcement learning infrastructure at OpenAI, established data foundations at Scale AI, and contributed to significant systems at companies like Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, including DoorDash, Mercor, and Cognition, and are proud to be backed by reputable investors such as Benchmark, Sequoia, and Lux.Who Thrives Here: We seek individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. You should feel comfortable navigating new environments rapidly—be it a fresh codebase, a client’s data architecture, or an unfamiliar problem domain. A genuine enjoyment for customer interaction, empathy, and a deep understanding of their operational workflows are essential. Candidates with entrepreneurial backgrounds, extensive side projects, or a proven track record of end-to-end ownership typically excel in our environment.

WHO WE AREAt Applied Compute, we are pioneering the development of Specific Intelligence tailored for enterprises. Our innovative agents continuously learn from a company’s processes, data, expertise, and goals, creating a dynamic learning layer that captures context, memory, and decision traces. This empowers specialized agents to tackle real-world tasks effectively.Why We're Excited: We operate at a unique convergence of technology and practical application. Our product team is responsible for developing the platform that drives a new generation of digital coworkers. Simultaneously, our research team explores the cutting-edge of post-training and reinforcement learning to craft exceptional product experiences. Our applied research engineers work closely with clients to deploy agents into production, ensuring that we combine strong product development with deep research and hands-on implementation.Our Team: We are a diverse group of engineers, researchers, and operators, many of whom are former founders. Our backgrounds include building reinforcement learning infrastructure at OpenAI, data foundations at Scale AI, and operational systems at other leading tech companies. We are proud to collaborate with Fortune 50 customers and are supported by top-tier investors like Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.Who Thrives Here: We seek individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. Candidates should be adept at quickly navigating unfamiliar environments—be it a new codebase, a client's data architecture, or a novel problem domain. Our team values empathy and understanding in our customer interactions, so those who enjoy listening, learning, and delivering results tend to excel here.THE ROLEAs a Forward Deployed Engineer, you will engage directly with customers to deploy and integrate our platform within their technical environments. You will be responsible for constructing the infrastructure and tools necessary to transform research into production systems. This role requires ownership of customer engagements from start to finish, including architecting environments, building large-scale data pipelines, creating evaluation frameworks for model training, and ensuring our platform delivers scalable value.

Join Our TeamAt Bunkerhill Health, we believe in the power of talent and motivation. If you are eager to be a part of our dynamic team but don't see a specific job that aligns with your skills, we encourage you to submit your application here. We are continually on the lookout for passionate individuals who can contribute to our mission. If a suitable position arises, we will reach out to you!

Join AbbVie, a global biopharmaceutical company, as an Applied AI Engineer in our dynamic San Francisco office. We are seeking a talented engineer to advance our AI initiatives and drive innovation across various projects. In this hybrid role, you will collaborate with cross-functional teams to implement cutting-edge AI solutions that enhance our product offerings and operational efficiencies.

Join Harvey: Innovating Legal ServicesAt Harvey, we're revolutionizing the landscape of legal and professional services from the ground up. By integrating cutting-edge agentic AI, a robust enterprise platform, and extensive domain expertise, we're redefining how essential knowledge work is performed for generations to come.This is a unique opportunity to contribute to a transformative company at a pivotal moment. With over 1,000 clients across more than 58 countries, strong product-market alignment, and backing from prestigious investors, we are rapidly scaling and shaping a new industry category in real-time. Our ambitions are vast, our standards are high, and the potential for personal, professional, and financial growth is unparalleled.Our team is composed of sharp, driven individuals who are passionately aligned with our mission. We operate with agility and intensity, taking full ownership of the challenges we face — from initial concepts to long-term results. We maintain close relationships with our clients — from executives to engineers — collaborating to address real issues with urgency and care. If you thrive in a dynamic environment, strive for excellence, and want to help shape the future of work alongside high-achieving peers, we invite you to join us in building something extraordinary.At Harvey, we’re writing the future of professional services today — and this is just the beginning.Role OverviewWe are seeking an insightful legal researcher with a comprehensive understanding of how law firms, financial institutions, corporations, and various organizations deliver professional services and manage complex legal and knowledge work. We have exceptional product-market fit and demand spanning diverse customer profiles. Meeting this demand requires a deep comprehension of our customers' workflows and the ways in which AI can enhance those workflows.Your ResponsibilitiesIn this role, you will:Contribute subject-matter expertise to support AI research initiatives.Collaborate closely with our engineering, product, and design teams to conceptualize and develop AI systems.Enhance AI systems through prompt engineering, fine-tuning, and other innovative techniques.Create proprietary benchmarks and datasets to assess models and model systems.Engage directly with clients to grasp their workflows, identify challenges, and translate intricate business and legal requirements into technical solutions.Your Qualifications3-7 years of experience in legal research or related fields.Proficiency in understanding legal workflows and professional services delivery.Experience in AI systems development and implementation is a plus.Strong analytical skills and attention to detail.Excellent communication skills, both written and verbal.

Are you passionate about making a difference in the field of University Development and Alumni Relations? UCSF offers a variety of exciting career opportunities in areas such as front-line fundraising, communications, events management, research, information technology, corporate and foundation relations, as well as annual and special giving initiatives. Whether your interests lie in gift planning, alumni relations, or administrative support, we have a place for you!If you are ready to take the next step in your career, we invite you to submit your resume. A member of our Strategic Talent Development team will connect with you to discuss potential opportunities and guide you through the next steps.Thank you for considering a career with UCSF—your future starts here!

Quizlet Inc. is looking for an Applied AI Engineer to create AI-driven features that support student learning. This position centers on developing and deploying machine learning solutions aimed at making study experiences more effective and engaging for a global user base. What you will do Design and implement machine learning models to enhance Quizlet’s educational tools Work on features that help students study more efficiently and enjoyably Locations Denver, CO New York, NY San Francisco, CA Seattle, WA

If you haven’t found the perfect opportunity yet, we encourage you to submit your resume to this role. By doing so, you'll be added to our Applicant Management System, ensuring that you are considered for future openings. We periodically review our candidate pool and may reach out with updates on new job opportunities.About UsNovoEd is a pioneering collaborative learning platform that empowers organizations to design and deliver experiential learning experiences that enhance business performance on a global scale. Founded at Stanford's social algorithm laboratory in 2012, we have supported global corporations, executive education providers, and training firms in cultivating high-value skills through practical application, coaching, mentorship, and collaborative group efforts. Our innovative approach connects diverse groups of learners, mentors, and leaders in an impactful online environment, unlocking shared knowledge and driving measurable outcomes.Why Join NovoEd?A collaborative and inclusive work cultureEngaging monthly company eventsGenerous paid parental leave for all parentsComplimentary lunch from local restaurants every weekdayWork from Home Wednesdays for added flexibilityFlexible vacation policy to support work-life balanceComprehensive health care benefitsCommuter support for parking and public transportReimbursement for personal phone bills

Join Fieldguide as the Director of Applied Intelligence and lead our innovative team in harnessing the power of AI technologies to drive exceptional business solutions. You will be at the forefront of transforming data into actionable insights, ensuring our clients achieve their strategic goals.

This is a placeholder job posting, utilized for internal testing purposes. Please note that any applications submitted through this platform will not be processed.This position is interesting but strictly for testing...Job post description concluded.

About ArtisanAt Artisan, we are pioneers in creating fully autonomous AI employees – not mere chatbots or copilots, but digital workers capable of performing meaningful tasks.Our flagship product, Ava, is an AI-powered Business Development Representative (BDR) utilized by hundreds of companies. Ava excels at researching leads, crafting and sending emails in clients' unique voices, managing complex outbound sequences, autonomously optimizing her performance, and even addressing objections while scheduling meetings. She is not just a tool; she is a collaborative teammate.As a proud Y Combinator W24 company, we have successfully raised over $35 million in funding and are currently achieving over $8 million in annual recurring revenue (ARR). We are now embarking on the development of Ava 2.0, which will redefine the capabilities of AI employees. The engineering challenges involved are substantial, and the scope of our project is vast.Role OverviewJoin our innovative team as the third Applied AI Engineer at Artisan! You will be instrumental in pushing the boundaries of AI employee capabilities and guiding our product's future direction.Evaluate LLMs: Select optimal models for various tasks while considering cost, latency, reliability, and accuracy.Architect Prompt Frameworks: Design agent behaviors for Ava's essential workflows such as email generation, chat interactions, meeting scheduling, prospect research, and more.Optimize Multi-Step Agent Chains: Implement retrieval-augmented generation (RAG), integrate web searches, and utilize tools like CRMs and APIs.Drive Infrastructure Decisions: Lead choices related to routing, orchestration, evaluation loops, and persistent memory for agents.Build Safety and Trust Mechanisms: Collaborate with the product team to design user guardrails, fail-safes, and success metrics.Explore Emerging Modalities: Investigate and deploy voice AI, talking head technology, and multi-modal reasoning to enhance Ava's human-like interactions.Design Autonomous Agent Workflows: Create workflows that enable strategic decision-making, real-time self-optimization, and measurable outcomes.Location: San Francisco, New York, or Remote USATeam: AIReports to: CPTO, Sam Stallings

Join Our Mission at Abby CareAt Abby Care, we are dedicated to transforming the landscape of family caregiving, addressing one of the most significant challenges of our time. Our goal is to empower over 50 million unpaid family caregivers across the United States by providing them with the training and support they need to get compensated for the invaluable care they provide at home.We are developing a cutting-edge, tech-driven family-first care platform designed to enhance care delivery, improve health outcomes, and ensure a superior experience for families nationwide. As we expand our impact, we are seeking passionate individuals to join our team. With partnerships alongside leading insurance providers, healthcare organizations, and community groups, we are backed by top-tier, mission-driven venture capitalists who share our vision of supporting families throughout the country.Our team comprises high-caliber professionals with backgrounds at renowned companies such as Uber, Scale AI, DoorDash, Dropbox, and Meta. Together, we are reimagining family caregiving.Your Role as an Applied AI EngineerWe are on the lookout for a skilled and motivated Applied AI Engineer to join our dynamic team. Reporting to the VP, Head of Engineering, this full-time position is based in San Francisco, CA, with an in-person presence required four days a week.In this role, you will play a crucial part in designing and building AI-driven products that serve as intelligent copilots for families and healthcare providers. You will create AI systems that facilitate family caregiving, enhance clinician support in care delivery, and explore innovative home-based care models. Your work will involve hands-on engagement with AI models and real-world clinical and operational data, contributing to the evolution of AI-assisted caregiving and shaping the future of care as a key early engineer.