San Francisco, California, United States · On-site
$225k–$275k/yr
At SF Tensor, we're building the future of high-performance compute We firmly believe that the future of AI depends on the unglamorous: rethinking and rebuilding the stack, all the way down. From the hardware underneath …
Skills: NextJS, React, TypeScript, API Development, Infrastructure
San Francisco, California, United States · On-site
Proximal is building the research systems needed to identify what models can't yet do, build the tasks required to teach them, measure whether those capabilities improve, and continuously produce the data that frontier m…
Skills: Reinforcement Learning, AI Research, Coding Agents, Experimental Design, Data Generation
San Francisco, California, United States · On-site
As molecular data generation and frontier model intelligence grows, new approaches to biological intelligence are needed across the biotech industry. Latch works with 5,000 scientists, 150+ R&D labs, and many frontier la…
Skills: Partnership management, Sales, Customer success, AI research, Biology
San Francisco, California, United States · On-site
$285k–$315k/yr
At SF Tensor, we're building the future of high-performance compute We firmly believe that the future of AI depends on the unglamorous: rethinking and rebuilding the stack, all the way down. From the hardware underneath …
Skills: Compiler infrastructure, LLVM, MLIR, GPU architecture, CUDA
San Francisco, California, United States · On-site
About Chai Discovery Chai builds the design suite for molecules. We train frontier models that learn the underlying foundations of biochemical structure and interaction, so scientists can move faster and pursue targets t…
Skills: Protein Design, Antibody Engineering, Computational Methods, Drug Discovery, AI Research
San Francisco, California, United States · On-site
$145k–$235k/yr
Astranis builds advanced satellites for high orbits, expanding humanity’s reach into the solar system. Today, Astranis satellites provide dedicated, secure networks to highly-sophisticated customers across the globe— lar…
Skills: Reliability engineering, Test planning, Python, Failure analysis, FMEA
San Francisco, California, United States · On-site
$170k–$260k/yr
About The Center for AI Safety (CAIS) The Center for AI Safety (CAIS) is a leading research and advocacy organization focused on mitigating societal-scale risks from AI. Some of our past achievements include: releasing t…
Skills: Deep learning, Large language models, Multimodal models, Research management, Project management
San Francisco, California, United States · On-site
About Us One Medical is a primary care solution challenging the industry status quo by making quality care more affordable, accessible and enjoyable. But this isn’t your average doctor’s office. We’re on a mission to tra…
Skills: Family Medicine, Primary Care, Patient Care, Chronic Care Management, Preventive Care
San Francisco, California, United States · Hybrid
About Us One Medical is a primary care solution challenging the industry status quo by making quality care more affordable, accessible and enjoyable. But this isn’t your average doctor’s office. We’re on a mission to tra…
Skills: Family Medicine, Primary Care, Patient Care, Clinical Procedures, Tele-health
San Francisco, California, United States · On-site
About Us One Medical is a primary care solution challenging the industry status quo by making quality care more affordable, accessible and enjoyable. But this isn’t your average doctor’s office. We’re on a mission to tra…
Skills: Family medicine, Primary care, Patient care, Chronic care management, Preventive care
San Francisco, California, United States · Hybrid
$335k–$385k/yr
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of co…
Skills: Regulatory compliance, AI regulation, Legal counseling, Compliance program design, Legislative analysis
San Francisco, California, United States · On-site
Rimkus is a global engineering and technical consulting firm serving corporations, insurers, law firms, and government agencies. Across life sciences, forensic, construction, built environment, and product development wo…
Skills: Human Factors, Litigation Consulting, Forensic Analysis, Expert Testimony, Data Acquisition
San Francisco, California, United States · On-site
$101k–$160k/yr
We are seeking a Strategic Project Lead (SPL) to manage and deliver human data programs within a fast-growing new business unit within GLG. You will play a key role in providing elite domain expertise to frontier AI labs…
Skills: Project Management, Strategic Planning, Stakeholder Management, Dataset Curation, Quality Control
San Francisco, California, United States · On-site
$65k–$85k/yr
GLG Research connects clients across with all industries with data driven insights using our B2B panels built from the world’s largest and most varied source of first-hand expertise. We offer market insights by providing…
Skills: Market research, Survey design, Project management, Data interpretation, Visualization
San Francisco, California, United States · Hybrid
$330k–$395k/yr
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of co…
Skills: AI safety, Product policy, Team leadership, Cross-functional collaboration, Child safety
San Francisco, California, United States · Hybrid
$215k–$300k/yr
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of co…
Skills: Partnership management, Life sciences research, Program management, Technical fluency, LLM capabilities
San Francisco, California, United States · Hybrid
$225k–$290k/yr
About us: Braveheart Bio is a clinical-stage biopharmaceutical company focused on developing therapies for patients with hypertrophic cardiomyopathy (HCM) and other serious cardiovascular diseases. Our lead product candi…
Skills: Quality compliance, Risk management, GxP auditing, Inspection readiness, Vendor oversight
San Francisco, California, United States · Hybrid
$170k–$200k/yr
About us: Braveheart Bio is a clinical-stage biopharmaceutical company focused on developing therapies for patients with hypertrophic cardiomyopathy (HCM) and other serious cardiovascular diseases. Our lead product candi…
Skills: Quality management systems, Electronic QMS administration, Document management, Records management, GxP training
San Francisco, California, United States · On-site
Join Us, and Ship Robots Weave was founded to build the robots we’d want to have in our own home. We believe the next generation of robotics will transform everyday life by enabling people to do more and to reclaim time …
Skills: Python, Data Engineering, Machine Learning, Robotics, Data Pipelines
San Francisco, California, United States · On-site
Join Us, and Ship Robots Weave was founded to build the robots we’d want to have in our own home. We believe the next generation of robotics will transform everyday life by enabling people to do more and to reclaim time …
Skills: PyTorch, JAX, Distributed training, FSDP, DDP
San Francisco, California, United States • On-site
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
You will own the end-to-end development of the Model Foundry product, designing and building interfaces that allow researchers to manage experiments and training runs. You will work closely with internal research teams to create high-performance, intuitive tools for monitoring GPU telemetry and training workloads.
The ideal candidate has proven experience shipping complete products with a strong eye for design and technical proficiency in backend and infrastructure. You should be comfortable working with web technologies like NextJS and have a solid understanding of cloud infrastructure and containerization.
We firmly believe that the future of AI depends on the unglamorous: rethinking and rebuilding the stack, all the way down. From the hardware underneath it to the compiler targeting it and the cloud running it. Right now those three things fight each other and that friction shows up as a tax on every researcher trying to build something ambitious. We're here to axe that tax and make compute faster, cheaper and more available. When we succeed, compute will be portable enough that "which cloud, which chip" stop being something you worry about.
To achieve this, we are building our Kernel Optimizer, which takes code and finds its fastest possible form for whatever vendor and cluster topology you point it at, automatically, as well as the Model Foundry which manages the runs, makes research easier and moves workloads across clouds and chips as prices and availability ship, instead of leaving you locked into whatever vendor you signed with first.
We're backed by Susa Ventures, Y Combinator, along with some great funds and angels including Max Mullen and Paul Graham, as well as founders and executives at Neuralink, Notion and AMD. We're looking for researchers, engineers and organizations who agree with the basic premise: you don't get the next leap in AI without a leap in compute first.
We build the fastest GPU compiler in the world. Most compilers have to preserve correctness at every transform, constraining how far they can search, while we prove correctness at the end instead, allowing us to search a far wider space, with agents, with RL, with anything that works and still guarantee the result. It's why we hold #1 on NVIDIA's own kernel benchmark across hundreds of production kernels.
Speed at the kernel layer is only worth what we do with it though, so we're hiring a Member of Technical Staff for Product Engineering to own the surface that the engine reaches the world through.
That surface is Model Foundry and it takes a researcher from idea to a running experiment in one commit or one message. When a researcher needs to see the perplexity curve from last night's run or to try an experiment with a new annealing rate, Foundry writes the config, queues the job on whatever silicon makes sense that week, then stream the logs back and versions the whole thing so it can be reproduced six months later. You'll own it end to end from the interfaces researchers live in all day to the services behind them, making sure the software doesn't just work, but the experience feels right and is enjoyable even when using it 16 hours a day for months on end.
The users are close and the loop is short. Foundry is used by both our customers, our internal research team as well as our forward-deployed researchers to train models every hour of the day, so your users either sit next to you or a Slack message away. The data you're processing is not gentle: you'll be processing telemetry from thousands of GPUs across NVIDIA, AMD, TPU and Trainium from runs that last for weeks to months parsing logs and charts that don't stop and making sure all of the data is accessible to user as well as their agents.
You'll take full ownership of product areas in Model Foundry: scoping, designing, building and iterating on them
You'll build clean, fast and polished web interfaces with NextJS that feel almost native
You'll design the surfaces where researchers live: run dashboards, live log streaming, experiment comparison, eval results, cluster and storage views
You'll build the conversational and commit-driven entry points into Foundry, where a Slack message or commit become a training run
You'll obsess over the small things, from loading states to smooth animations and the edge cases that turn a good product into an exceptional one
You'll work directly with our forward-deployed researcher and our own training team. They're your users, they sit next to you and their feedback loop is measured in minutes
You'll make smart product tradeoffs with little hand-holding, which means knowing when to ship fast and when to spend extra time polishing
Someone with proven experience shipping complete products, ideally something you can show us
Someone with real taste and a sharp eye for design and motion, which means you notice when an animation eases awkwardly, when padding feels inconsistent or something just feels cheap
Someone with solid backend chips, which means you can build APIs and troubleshoot production issues
Someone with enough infrastructure comfort to handle AWS, containers and Kubernetes (you don't need to be a DevOps wizard but shouldn't be scared of a Dockerfile either)
Someone with experience working with Bun or an eagerness to dive in
Someone with a background in developer tools, infrastructure products or building for technical users
Someone with any exposure to ML training workflows or tools like Weights & Biases, Ray or Slurm
Someone comfortable using Figma to mock up things yourself when needed
Most infrastructure companies treat their interface as an afterthought and their users can tell. The engineering and engine behind our product is as good as it gets and the product on top deserves to be just as good. You'll be defining what researchers at frontier labs feel when they train a model and are staring at logs and curves for hours on end with the goal of making the research experience as enjoyable as possible and let the infrastructure get out of the way and fade into the background.
We're a small team operating at frontier scale. We pre-trained foundation models on 4,000 AMD GPUs as a team of three, designed and brought up GB300 NVL72 clusters and designed a TOP500 supercomputer.
We believe that hard problems get solved in person and most of our work happens at our office in San Francisco. We offer relocation assistance and, where possible, we'd like you here as often as possible.
The base salary range for this full-time position is $225,000-$275,000, plus meaningful equity and benefits.
The San Francisco Tensor Company 🌁
SF Tensor abstracts over cloud providers and automatically optimizes AI training and inference, such that AI companies can focus on research, not infrastructure.
Offices: San Francisco, US
View all jobs at SF TensorBased on 1377 listings with disclosed salaries, most science & research jobs in San Francisco, CA pay between $101k–$305k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 1,946 open science & research positions in San Francisco, CA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include UCSF Department of Anesthesia and Perioperative Care, OpenAI, Anthropic, Sutter Health, Astranis Space Technologies, among others. Browse the listings above to see every active employer.
Yes — 774 of the 1946 open science & research positions offer remote or hybrid work (130 remote, 644 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.
