Causal LabsSan Francisco, California, United States · On-site
Our mission is general causal intelligence; AI that is capable of (1) predicting the future and (2) identifying the actions to alter it. To achieve this breakthrough, we are building a Large Physics foundation Model (LPM…
Skills: Machine Learning, Multimodal Learning, Model Architecture Design, Distributed Training, Computer Vision
San Francisco, California, United States · Hybrid
$180k–$280k/yr
About SuperAnnotate SuperAnnotate helps the world’s leading AI teams build responsible, next-generation models powered by high-quality human data. We’re a fast-growing Series B startup bridging the gap between advanced A…
Skills: Python, Machine Learning, Reinforcement Learning, Multimodal ML, AI Evaluation
San Francisco, California, United States · Remote OK
$110k–$125k/yr
Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At Cytiva, one of Danaher’s 15+ operating companies, our work saves lives—and…
Skills: Sales Strategy, Protein Purification, Chromatography, Technical Consultation, Funnel Management
Causal LabsSan Francisco, California, United States · On-site
Our mission is general causal intelligence; AI that is capable of (1) predicting the future and (2) identifying the actions to alter it. To achieve this breakthrough, we are building a Large Physics foundation Model (LPM…
Skills: Backend Systems, API Design, Cloud Infrastructure, Frontend Frameworks, MLOps
Causal LabsSan Francisco, California, United States · On-site
Our mission is general causal intelligence; AI that is capable of (1) predicting the future and (2) identifying the actions to alter it. To achieve this breakthrough, we are building a Large Physics foundation Model (LPM…
Skills: Machine Learning, Interpretability, Representation Analysis, Neural Network Architectures, Engineering
Causal LabsSan Francisco, California, United States · On-site
Our mission is general causal intelligence; AI that is capable of (1) predicting the future and (2) identifying the actions to alter it. To achieve this breakthrough, we are building a Large Physics foundation Model (LPM…
Skills: Software Engineering, Data Pipelines, Evaluation Frameworks, Probability, Statistics
Causal LabsSan Francisco, California, United States · On-site
Our mission is general causal intelligence; AI that is capable of (1) predicting the future and (2) identifying the actions to alter it. To achieve this breakthrough, we are building a Large Physics foundation Model (LPM…
Skills: Operations Research, Decision Science, Optimization, Stochastic Methods, Counterfactual Reasoning
San Francisco, California, United States · On-site
$175k–$240k/yr
About us Edison Scientific builds and deploys AI scientist agents to accelerate science and the development of new medicines. We are an ambitious team run by scientists and engineers from leading institutions across biol…
Skills: JavaScript, Reactjs, TypeScript, Browser rendering pipelines, Performance profiling
San Francisco, California, United States · Hybrid
$212k–$265k/yr
About the team At a Glance This is one of the highest-leverage quantitative research roles in the marketplace space right now. Here’s what you need to know before reading further. Why this role stands out: Greenfield sco…
Skills: Quantitative UX Research, Experimental Design, Survey Methodology, Statistical Analysis, Behavioral Data Analysis
Causal LabsSan Francisco, California, United States · On-site
Our mission is general causal intelligence; AI that is capable of (1) predicting the future and (2) identifying the actions to alter it. To achieve this breakthrough, we are building a Large Physics foundation Model (LPM…
Skills: Problem Decomposition, Stakeholder Management, Structured Thinking, Cross-functional Leadership, Technical Fluency
San Francisco, California, United States · Hybrid
$94k–$110k/yr
Category:Administration Lab/Area:Philanthropy Description: Who We Are The Gladstone Institutes is a leading independent, not-for-profit research organization dedicated to improving human health through groundbreaking bio…
Skills: Executive Administrative Support, Workflow Management, Complex Calendaring, Donor Relations, Event Planning
San Francisco, California, United States · Hybrid
$180k–$260k/yr
About Sprinter Health At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they c…
Skills: Machine Learning, Artificial Intelligence, Natural Language Processing, Large Language Models, Python
San Francisco, California, United States · On-site
$61k–$89k/yr
Category:Science Lab/Area:Theodoris Lab Description: The laboratory of Christina Theodoris, MD, PhD, is seeking a highly motivated AI research engineer with a strong background in computer science and machine learning to…
Skills: Python, Bash, PyTorch, GPU Computing, HPC Computing
San Francisco, California, United States · On-site
$23/hr–$28/hr
Job DetailsJob Location: San Francisco, San Francisco & San Mateo Counties - San Francisco, CA 94117Position Type: Part TimeSalary Range: $23.50 - $28.50 HourlyDo you like working with children? How about playing with LE…
Skills: STEM Instruction, Classroom Management, Child Safety, Curriculum Implementation, Communication
San Francisco, California, United States · On-site
$120k–$150k/yr
Thornton Tomasetti applies engineering and scientific principles to solve the world’s challenges. An independent organization of creative thinkers and innovative doers collaborating from offices worldwide, our mission is…
Skills: Forensic Engineering, Structural Analysis, Project Management, Team Leadership, Client Relationship Management
San Francisco, California, United States · Hybrid
$225k–$305k/yr
We are rebuilding biotech for the AI era. When a breakthrough is delayed, the world waits. Getting a molecule from discovery to patients, or a crop from lab to field, involves thousands of slow, manual, disconnected step…
Skills: System Architecture, Backend Development, API Design, Full-stack Development, Python
San Francisco, California, United States · On-site
Member of Technical Staff Our mission at Wafer is to maximize intelligence per watt by using AI to optimize AI infrastructure, achieving orders of magnitude better energy and cost efficiency per token. We believe cheap i…
Skills: CUDA, HIP, Triton, GPU Kernel Tuning, LLM Inference Optimization
Causal LabsSan Francisco, California, United States · On-site
Our mission is general causal intelligence; AI that is capable of (1) predicting the future and (2) identifying the actions to alter it. To achieve this breakthrough, we are building a Large Physics foundation Model (LPM…
Skills: Full-cycle Recruiting, Technical Sourcing, Candidate Engagement, Pipeline Management, Employer Branding
San Francisco, California, United States · Remote OK
$75k–$85k/yr
OUR MISSION Prisms VR is a San Francisco-based team of educators, game developers, and engineers transforming K12 STEM education through experiential real-world problem-solving powered by the next generation of spatial c…
Skills: Instructional Design, Interactive Design, Curriculum Development, STEM Education, Spatial Thinking
Causal LabsSan Francisco, California, United States · On-site
Our mission is general causal intelligence; AI that is capable of (1) predicting the future and (2) identifying the actions to alter it. To achieve this breakthrough, we are building a Large Physics foundation Model (LPM…
Skills: Reinforcement Learning, Planning And Control, Decision-making Under Uncertainty, Model-based RL, Post-training Of Large Models
Causal Labs
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.
Design and implement novel model architectures and training algorithms to predict the future of physical systems using massive multimodal data. Work across the full ML stack to transition prototypes into scaled training runs and solve complex modeling problems like long-horizon rollouts.
Requires a strong grasp of ML fundamentals with depth in domains such as world models, computer vision, or physics-informed NNs. Candidates must have a proven track record of training large-scale models and turning open-ended research into production models.
Our mission is general causal intelligence; AI that is capable of (1) predicting the future and (2) identifying the actions to alter it.
To achieve this breakthrough, we are building a Large Physics foundation Model (LPM) because physical systems, unlike text or images, are governed by verifiable cause and effect. We believe that scaling on physics will enable an understanding of causality required to predict and control physical systems, starting with weather.
Our founding team has built and deployed AI against the physical world in robotics, drug discovery, and particle physics at institutions like DeepMind, Waymo, Cruise, Insitro, Nabla Bio, and CERN.
We look for researchers who are excited to tackle unsolved problems. Predicting how physical systems evolve means learning from observations that language and vision models were not built for — sparse sensors, point clouds, hyperspectral imagery, physical fields — at a scale that dwarfs what is used to train even today's frontier LLMs. Your mission is to design the architectures and training recipes that turn these multimodal observations into a model that predicts the future of the physical world.
Design and implement novel model architectures and training algorithms for learning from massive, multimodal physical data
Solve core modeling problems unique to physical prediction: encoding heterogeneous and irregularly-sampled modalities, stable long-horizon rollouts, and probabilistic forecasting
Run experiments and ablations that connect modeling and data decisions to predictive skill, including which data sources and mixtures most improve the model
Work across the full ML stack — data, model, eval, and infrastructure — to take ideas from prototype to scaled training runs
Stay up-to-date on research to bring new ideas to work
We value a relentless approach to problem-solving, rapid execution, and the ability to quickly learn in unfamiliar domains.
Strong grasp of machine learning fundamentals, with depth in at least one relevant domain (e.g. sequence or world models, computer vision, sensor fusion, generative modeling, physics-informed NNs)
Experience training large-scale models and the ability to understand experimental results through careful analysis and ablation studies
Familiarity with distributed training and the systems considerations of scaling models
A track record of turning open-ended research problems into production models
Based on 1012 listings with disclosed salaries, most science & research jobs in San Francisco, CA pay between $90k–$295k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 1,414 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 — 576 of the 1414 open science & research positions offer remote or hybrid work (128 remote, 448 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.
