549 ml scientist jobs at 207 companies in Berkeley, 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.
insitro: Decodes biology using machine learning to discover new medicines
PhD in CS, ML, computational biology, systems biology, or related; extensive ML method development for biological data; strong Python skills; good communication; published work.
Manifold Bio: Designing tissue-targeted protein therapeutics using AI and in vivo screening.
5+ YOEPhD in ML/Computational Biology/Bioinformatics/CS; 5+ years ML research; expert PyTorch/JAX; protein design expertise; leadership/mentoring experience; strong statistics and HPC knowledge; excellent communication.
NobleAI: Science-based AI platform for industrial product R&D optimization.
Ph.D. in a STEM field required; ML coursework or degree; hands-on experience applying ML to scientific/engineering problems; strong Python and ML framework experience; ability to deploy models to production and communicate complex technical results.
Python, PyTorch, TensorFlow, Keras, sklearn, Microsoft Azure, AWS, GCP
Genesis Molecular AI: Generative AI platform for small molecule drug discovery.
Expertise in 3D ML and molecular simulation (MD, enhanced sampling, FEP/TI), proficiency in Python and scientific libraries, experience with simulation tools and structure-based drug design; PhD preferred and demonstrated research or industry impact.
Zed: AI-native neobank providing premium credit services to young professionals.
7+ YOE7+ years applied ML/data science experience in credit risk or fraud; production experience with LLMs, embeddings, and transformer models; proficiency in Python, SQL, and ML frameworks; strong feature engineering and model monitoring skills.
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
5+ YOESenior scientist with strong ML, compiler, and programming experience; 5+ years in CS/CE/ML; PhD or Master’s with experience; publications preferred.
Achira: AI foundation models for atomistic simulation and drug discovery.
Industry research experience (post-degree), demonstrated research impact (publications or released models), proficiency in Python and modern ML frameworks, strong interdisciplinary communication, and experience collaborating on multi-person research projects.
Kitchener-Waterloo or Toronto or San Francisco or New York City or London
$200k-$275k/yrHybridFull Time
Faire: Online wholesale marketplace connecting independent retailers with unique brands.
7+ YOE7+ years building large-scale ML systems (3+ years in search/recommendation), strong Python, experience with PyTorch, vector search (Faiss/ScaNN/Pinecone), Triton/GPU deployment, LLMs (BERT/GPT-class), productionizing personalized models, excellent communication.
Co-Op, LS AI, ML Scientist for Protein Engineering
San Francisco, California, United States
OnsiteInternship, Temporary
Lila Sciences: Develops an AI platform for autonomous scientific research and discovery.
PhD student in a quantitative field with ML and computational biology research experience; strong Python programming and experience with PyTorch or JAX; ability to work with biological datasets and communicate results.
ML Research Scientist (Embodied AI & Reinforcement Learning)
Palo Alto, California, United States
$175k-$250k/yrOnsiteFull Time
Metamorphic: Building AI foundation models using large-scale experimental neuroscience.
PhD or equivalent research experience in ML/robotics/CS/neuroscience, strong publication/technical track record in RL/embodied AI, deep learning and large-scale training expertise, proficiency in Python, simulation and policy evaluation experience.
Merge Labs: Developing high-bandwidth non-invasive brain-computer interfaces using biotechnology.
Deep learning, protein-structure modeling, molecular dynamics; Python/PyTorch/Jax; collaboration with wet-lab teams; production-grade code; transfer learning.
Hewlett Packard EnterpriseNYSE: HPE: Provides edge-to-cloud IT infrastructure and platform services.
PhD in CS/EE or related with strong ML research background, expertise in LLMs and reinforcement learning, proficiency in PyTorch and Python, GPU/system optimization experience, strong publication record and mentoring ability.
UnitedHealth GroupNYSE: UNH: Provides health insurance and technology-enabled health care services.
3+ YOEMaster's in CS/ML/STEM,3+ years with PyTorch/TensorFlow,2+ years NLP and generative AI experience,2+ years building ML applications,and 1+ year agentic research experience.
AI/ML Scientist Intern, AIMS AI Foundations (PhD) – Fall 2026
Los Gatos, California, United States
$40-$85/hrHybridInternship, Full Time
NetflixNASDAQ: NFLX: Provider of global streaming entertainment and video content.
Enrolled PhD student able to work 40 hrs/week in Fall/Winter. Proficiency in Python and major ML frameworks (PyTorch, TensorFlow, JAX). Strong ML/deep learning/statistics foundation and ability to design/run ML experiments and build prototypes.
AI/ML Scientist Intern, AIMS AI Foundations (PhD) – Fall 2026
Los Gatos or United States
$40-$85/hrHybridFull Time, Internship
NetflixNASDAQ: NFLX: Global video streaming and media production service.
Currently enrolled PhD student; able to work 40 hrs/week; proficiency in Python and ML frameworks (PyTorch, TensorFlow, JAX); strong foundation in ML/DL/statistics; ability to design/run ML experiments and build prototypes; strong communication skills.
GatherUp: Software platform for customer review and reputation management.
3+ YOE3+ years in data science/ML, strong NLP, Python/SQL, PyTorch/RoBERTa, production ML deployment, and RAG pipelines. Excellent communication. Masters preferred in quantitative field.
Applied MaterialsNASDAQ: AMAT: Produces equipment and services for chip and display manufacturing.
0+ YOEAdvanced degree in a quantitative field, 0-2 years industry experience in applied ML/AI, hands-on GenAI/LLM experience, proficiency with Python, SQL, PyTorch/JAX/TensorFlow, scikit-learn, MLOps and model deployment.
Applied MaterialsNASDAQ: AMAT: Manufacturers of equipment for semiconductor and display production.
0+ YOEAdvanced degree (MS/PhD) in a quantitative field, 0-2 years industry ML/AI experience, hands-on GenAI/LLM and agentic AI experience, Python/SQL and PyTorch/JAX/TensorFlow knowledge, MLOps and strong communication.
Hewlett Packard EnterpriseNYSE: HPE: Providing global edge-to-cloud infrastructure and IT solutions for businesses.
PhD in CS/EE or related, extensive LLM and RL research experience, strong Python and PyTorch skills, experience with GPU acceleration and model optimization, publishing and prototyping background.