39 machine learning scientist jobs at 25 companies in Fairfield, CA
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Calico: Researching aging biology to develop longevity-improving therapies.
5+ YOEPhD in computational biology, bioinformatics, computer science, or related field; strong publication record; 0-5 years (Scientist) or 5+ years (Senior Scientist) in industry or academia; deep ML expertise; genomics knowledge; onsite four days/week.
Python, TensorFlow, PyTorch, Genomics data, DNA sequence analysis
Tacit: Developing advanced hardware to rethink human-computer interaction.
PhD or equivalent experience in ML/computational neuroscience, expertise in deep learning, proficiency in PyTorch/TensorFlow and Python, experience deploying models, strong communication and collaboration skills.
FreenomeNASDAQ: FRNM: Develops blood tests for early cancer detection using machine learning.
6+ YOEPhD in quantitative field with 6+ years post-PhD industry/postdoc experience in applied ML/DL; demonstrated publications or impact; proficiency in Python/R/C/C++/Java; experience with deep learning, supervised/self-supervised/contrastive learning.
2+ YOEPhD in Computational Biology, Computer Science, Chemistry, Physics or related; up to 2 years industry experience for Scientist or 2+ years for Senior Scientist; Python and deep learning libraries (PyTorch/JAX); deep learning model development; molecular dynamics; publications; GitHub portfolio.
Hinge HealthNYSE: HNGE: Digital provider of musculoskeletal care and physical therapy
7+ YOEBachelor's in a quantitative field, 7+ years building and deploying ML systems at consumer scale, shipped recommendation/sequential-decision systems, strong experimentation and statistics, proficiency in Python and SQL.
Gilead SciencesNASDAQ: GILD: Develops and sells medicines for life-threatening infectious diseases.
2+ YOEPhD in a quantitative field with 2+ years' experience; strong Python and deep learning framework proficiency (PyTorch and/or JAX); experience training and evaluating representation, multimodal, geometric, or generative models; knowledge of protein structure and antibody biophysics.
RocheSIX Swiss Exchange: ROG: Develops and manufactures pharmaceutical medicines and diagnostic solutions.
PhD or equivalent in a quantitative field; deep ML expertise; hands-on quantum chemistry experience (Psi4, PySCF, ORCA, xTB); fluent in Python and PyTorch or JAX; publication record; experience building scalable ML pipelines and synthetic datasets.
Machine Learning Scientist - Apple Services Engineering, GenAI & ML Frameworks
San Francisco, California, United States
OnsiteFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Experienced ML scientist working on LLMs and GenAI, collaborating with product, infra, and foundation model teams to improve model reasoning, domain knowledge, tool use, and system integration.
Gilead SciencesNASDAQ: GILD: Develops and sells medicines for life-threatening infectious diseases.
2+ YOEPhD in a quantitative discipline with 2+ years experience; proficiency in Python, deep learning (PyTorch/JAX), NumPy, pandas; experience architecting and evaluating deep learning models; knowledge of protein structure and antibody biophysics; demonstrated research productivity.
Extropic: Developing thermodynamic computing hardware for energy-efficient AI.
Expertise in scientific Python and a deep learning framework, strong probability and linear algebra, publications in top ML venues, experience with training/deploying high-performance models and related infrastructure.
Neo.Tax: Automating enterprise accounting and R&D tax credit calculations.
6+ YOE6+ years in data science / ML shipping production models; strong Python, SQL; experience building data pipelines; production ML, experimentation, and cross-functional collaboration.
Scale AI: Provides data and infrastructure for training artificial intelligence models.
5+ YOE5+ years as an ML engineer or applied scientist with production ML/LLM systems; experience building evaluation/monitoring or continuous-learning infrastructure; strong experimentation and collaboration skills.
Plaid: Provides financial data connectivity and payment infrastructure via APIs.
7+ YOESenior ML engineer with 7–12+ years (MS) or 5–9+ years (PhD); strong technical leadership; expertise in transformers/LLMs; end-to-end production ownership; Python and software engineering fundamentals; fintech domain experience a plus.
Python, PyTorch, TensorFlow, Distributed training, Pretraining infrastructure, ML platforms
Senior research Scientist - Machine Learning Systems & Efficiency Engineer
Seattle or San Francisco or San Jose
$143k-$271k/yrOnsiteFull Time
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
Master's or PhD in CS/EE or related; deep expertise in ML systems, distributed inference, GPU performance, and production deployment; proficiency in Python and C++; experience with Triton/CUDA and performance profiling.
ML Research Scientist (MLRS) - Representation Learning for Molecular AI
San Francisco or New York City
$165k-$259k/yrHybridFull Time
Achira: AI foundation models for atomistic simulation and drug discovery.
Industry post-degree ML research experience, proficiency in Python and modern ML frameworks (PyTorch, JAX), experience with 3D geometric deep learning and large-scale ML experiments, strong communication and research impact (publications or talks).
Lila Sciences: Develops an AI platform for autonomous scientific research and discovery.
PhD in ML, CS, computational biology or related; strong ML research record; experience with PyTorch/JAX/TensorFlow; expertise in scientific reasoning, experimental design, and probabilistic modeling preferred.
UCSF Health: Academic medical center providing advanced patient care and research.
Bachelor’s degree or equivalent with proficiency in Python, data analysis, machine learning, data pipelines, API integration, Git, and strong communication and problem-solving skills.
PG&ENYSE: PCG: Provides natural gas and electric service in California.
5+ YOEBachelor's degree or equivalent experience; 5+ years job-related experience (or Masters +3 years); experience with Python, SQL, machine learning techniques, and applying Gen AI to business problems.
Latent Health: AI platform for automating healthcare administrative workflows and documentation.
Strong ML/DL background with PyTorch; track record from idea to validated results; able to work independently in ambiguity; experience with longitudinal or clinical data is a plus.