San Francisco, California, United States · Hybrid
$200k–$385k/yr
TL;DR: If you: obsess over how intelligent systems learn, adapt, and improve over time; have a track record of exceptional research or engineering achievement; move effortlessly between papers, experiments, and productio…
Skills: Continual Learning, Meta-learning, Reinforcement Learning, Python, PyTorch
San Francisco, California, United States · Remote OK
$200k–$300k/yr
About Astera: Astera is a private foundation on a mission to steer science and technology toward an abundant future. We believe the coming years will bring an era of unprecedented scientific and technological advancement…
Skills: Machine learning, Computational biology, Generative AI, Reinforcement learning, Transformer architectures
San Francisco, California, United States · Hybrid
$118k–$185k/yr
Certain terms and conditions of employment for this position, including the rate of pay, benefits, etc., are currently subject to negotiation with the appropriate union. The Oracle Reporting Analyst is responsible for de…
Skills: Oracle Cloud ERP, SQL, Data Modeling, OTBI, BI Publisher
San Francisco, California, United States · Hybrid
$240k–$356k/yr
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make com…
Skills: Site Reliability Engineering, Kubernetes, Infrastructure Automation, Observability, CI/CD
San Francisco, California, United States · Remote OK
$179k–$273k/yr
Thumbtack helps millions of people confidently care for their homes. Thumbtack is the one app you need to take care of and improve your home — from personalized guidance to AI tools and a best-in-class hiring experience.…
Skills: Data Engineering, SQL, Python, BigQuery, Dbt
San Francisco, California, United States · On-site
$135k–$242k/yr
Job Requisition ID # 26WD98421 Position Overview At Autodesk, we do what no other company can: we help our customers design and make anything. The Experience Foundations team at Autodesk plays a critical role in designin…
Skills: Data science, Applied ML, Predictive modeling, Product analytics, User behavior modeling
San Francisco, California, United States · On-site
$240k–$240k/yr
About interface.ai interface.ai is the agentic AI platform for financial services — bringing conversational and agentic AI to the credit unions and community banks that serve everyday Americans. We're not a lab, we're no…
Skills: Software engineering, LLM engineering, Prompt engineering, Agentic architectures, TypeScript
San Francisco, California, United States · Hybrid
$200k–$290k/yr
TL;DR: If you: have a demonstrated track record of turning ambitious AI ideas into products people actually use; move effortlessly between research and engineering; have shipped something extraordinary, at work or outsid…
Skills: Python, Large Language Models, Agentic Frameworks, LangChain, Deep Learning
San Francisco, California, United States · On-site
$260k–$300k/yr
About Amigo Amigo partners with healthcare organizations to deploy robust AI infrastructure that directly serves patients and providers. Our agents handle clinical workflows and patient engagement across the entire journ…
Skills: Data Engineering, SQL, Distributed Query Optimization, ETL/ELT Workflows, Data Modeling
San Francisco, California, United States · Hybrid
$102k–$142k/yr
Who We Are FTI Consulting is the leading global expert firm for organizations facing crisis and transformation. We work with many of the world’s top multinational corporations, law firms, banks and private equity firms o…
Skills: Python, R, NLP, Machine Learning, LLMs
San Francisco, California, United States · Hybrid
$266k–$295k/yr
About the Team The OpenAI Audit Team is on a mission to build the future of internal audit from the ground up. Our ambition will be powered by a high-energy, technically exceptional team with the judgment, intellectual c…
Skills: Internal audit, Risk management, Financial reporting, Compliance, Data analytics
San Francisco, California, United States · Remote OK
$250k–$350k/yr
About Astera: Astera is a private foundation on a mission to steer science and technology toward an abundant future. We believe the coming years will bring an era of unprecedented scientific and technological advancement…
Skills: Machine learning, Computational biology, Reinforcement learning, Generative diffusion models, Transformer architectures
San Francisco, California, United States · On-site
$260k–$300k/yr
About Amigo Amigo partners with healthcare organizations to deploy robust AI infrastructure that directly serves patients and providers. Our agents handle clinical workflows and patient engagement across the entire journ…
Skills: Full-stack development, Data modeling, API development, Front-end development, System reliability
San Francisco, California, United States · Hybrid
$125k–$175k/yr
About Middesk: Middesk makes it easier for businesses to work together. Since 2018, we’ve been transforming business identity verification, replacing slow, manual processes with seamless access to complete, up-to-date da…
Skills: Technical recruiting, Full-cycle recruiting, Sourcing, Candidate pipeline management, Stakeholder management
San Francisco, California, United States · On-site
$170k–$205k/yr
Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from elect…
Skills: Distributed systems, Cloud services, Python, Go, Java
San Francisco, California, United States · Hybrid
$195k–$230k/yr
Our mission at Onton is to help people make decisions they love, instantly. We’re tackling the most economically impactful decisions first: the average shopping journey takes 79 days, and we’re taking that to less than 1…
Skills: Software engineering, Machine learning, Research engineering, Neurosymbolic AI, AI architecture
San Francisco, California, United States · Hybrid
$110k–$150k/yr
About this role BlackRock is one of the world’s preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary, and individu…
Skills: Python, Data analysis, Data visualization, Capital markets, Investment management
San Francisco, California, United States · On-site
$200k–$250k/yr
🚀 Company Description: Halluminate is an applied AI and data company working with frontier Labs to train Financial Services Super Intelligence. We do this by building high quality computer and tool-use RL (Reinforcement…
Skills: Debt financing, Working capital management, Financial modeling, P&L management, Capital planning
San Francisco, California, United States · Hybrid
Job Description – Senior AI/ML Engineer Location: Melbourne (hybrid, 3+ days a week in our Melbourne office) About Artificial Analysis Artificial Analysis is the leading independent AI benchmarking company. We support la…
Skills: Python, AI benchmarking, Machine learning, Data analysis, Backend systems
San Francisco, California, United States · On-site
Applied Computational Biologist Valthos Inc. Valthos is an applied biological intelligence company. We build and deploy software and biological AI systems to safeguard humanity. The same AI architectures that enable self…
Skills: Computational biology, Bioinformatics, Genomics, Python, Machine learning
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Research and develop AI approaches for continual learning, memory formation, and fast adaptation in large-scale systems. Own the full development pipeline from data generation and evaluation to final product integration.
Requires a PhD or equivalent experience in Computer Science, Robotics, Engineering, or Math with a track record of research in lifelong learning or RL. Must be fluent in Python and modern ML stacks like PyTorch or JAX.
TL;DR: If you:
obsess over how intelligent systems learn, adapt, and improve over time;
have a track record of exceptional research or engineering achievement;
move effortlessly between papers, experiments, and production code;
turn half-baked ideas into working systems…
… you should apply for this role!
At P-1 AI, we are building an AI engineer agent for the physical world named Archie. We maximize Archie’s anthropomorphism so that he fits seamlessly into existing engineering teams and workflows in the form factor of a human engineer. Archie today is at the level of a junior mechanical and electrical engineer, with a quantitative intuition over the product design space and the ability to use complex engineering tools—the same tools his human teammates use. Archie's tech stack includes a custom agentic harness, structured design representation, continual skills learning, and small custom post-trained models (SFT and RLVR) using proprietary semi-synthetic training data sets and environments which create a deep competitive moat. Our ultimate aim is to build engineering ASI. We recently announced a $50 million Series A financing led by NEA, which added former General Electric CEO Jeff Immelt to our board. The round also included the addition of several AI luminaries from Anthropic and Nominal to our existing angel investors from Google and OpenAI.
We’re seeking an exceptional AI Research Scientist to join our small team of elite researchers and help us push the boundaries of AI applied to the physical world. This role blends cutting-edge AI research with hands-on engineering, and is ideal for someone who thrives at the intersection of ideas and implementation.
Research and develop approaches for continual learning, fast adaptation, memory formation, knowledge retention, and transfer learning in large-scale AI systems.
Own the full development pipeline from data generation to evaluation to product integration.
Contribute to both research strategy and technical implementation—this is a hands-on role. Have ownership over your own applied research stream.
Investigate topics such as continual learning, online learning, test-time adaptation, memory architectures, meta-learning, self-improvement, and knowledge consolidation.
A PhD (or equivalent experience) in Computer Science, Robotics, Engineering, Math, or a related field.
Have conducted research in one or more areas such as continual learning, lifelong learning, meta-learning, online learning, reinforcement learning, memory systems, model adaptation, transfer learning, or related fields.
Are fluent in Python and modern ML stack such as PyTorch or JAX, and distributed training frameworks.
Creative approach to bringing definition and solutions to under-specificed challenges.
Are excited by fundamental questions around how intelligent systems acquire, retain, and use knowledge over time.
Thrive in fast-moving, collaborative environments, and communicate technical matters with clarity.
Take a high-ownership, “make it work” approach to problem solving.
Publications in top-tier venues.
Onsite in San Mateo, CA. Relocation support available.
Competitive salary, meaningful equity ownership, healthcare, dental, vision, 401(k) match, and unlimited PTO.
Initial screening call (30 mins)
Biographical/behavioural interview (60 mins)
Technical interview (75 mins)
CEO interview (30 mins)
Building engineering AGI for the physical world.
Based on 2218 listings with disclosed salaries, most data & analytics jobs in San Francisco, CA pay between $125k–$276k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 2,764 open data & analytics positions in San Francisco, CA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include OpenAI, UCSF Department of Anesthesia and Perioperative Care, Amplitude, Salesforce, Williams-Sonoma, Inc., among others. Browse the listings above to see every active employer.
Yes — 1670 of the 2764 open data & analytics positions offer remote or hybrid work (364 remote, 1306 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
