120 machine learning scientist jobs at 47 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.
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
Curve Biosciences: Developing AI-powered blood tests for chronic disease monitoring.
PhD in CS, Statistics, Computational Biology or related field; or MS with equivalent research; strong PyTorch and Python; experience with ML on biological data; cloud and GPU workflows; collaborative mindset.
PyTorch, NumPy, SciPy, Pandas, Git, GitHub, Google Cloud Platform, Amazon Web Services
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.
RokuNASDAQ: ROKU: Operates a TV streaming platform and sells streaming hardware.
8+ YOEPhD in a quantitative field; 8+ years of applied research using statistical and deep learning; published work in advertising; strong communication and collaboration.
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.
NetflixNASDAQ: NFLX: Provider of global streaming entertainment and video content.
Advanced degree in a quantitative field, proficiency in Python/Scala/Java, deep ML and optimization knowledge, experience deploying algorithms on large-scale production data, and experience building bidding algorithms.
Expedia GroupNASDAQ: EXPE: Operates a global platform for travel bookings and services.
8+ YOE8+ years industry experience designing/deploying agentic or multi-step AI systems; strong Python and ML framework skills; LLM integration and evaluation experience.
NetflixNASDAQ: NFLX: Global video streaming and media production service.
PhD or Master’s in CS, Statistics, Mathematics or related field; proficiency in Python/Scala/Java; strong ML, optimization, and data analysis skills; experience with large-scale production data; knowledge of ad optimization is a plus.
Python, Scala, Java, Machine Learning, Optimization, Data analysis
Machine Learning/Computer Vision Research Scientist
Santa Clara, California, United States
$164k-$194k/yrOnsiteFull Time
HitachiTokyo Stock Exchange: 6501: Global provider of digital systems and social infrastructure solutions.
2+ YOEPhD (or equivalent) in CS/Engineering + 2 years ML experience; research in ML/DL/CV, generative AI; programming in Python/R/C/C++/Java; experience with PyTorch, TensorFlow, scikit-learn; publication or patent record.
Wayve: Develops end-to-end artificial intelligence for autonomous driving systems.
2+ YOEMasters (with ~6+ years) or PhD (with 2+ years) in CS/ML/robotics/math; strong ML and software fundamentals; production ML experience; fluency in Python and a deep-learning framework (PyTorch); experience with large-scale data and foundation-model workflows.
Python, PyTorch, turbopuffer, Milvus, Ray Data, Daft, Spark, Lance, Iceberg
Senior Machine Learning Scientist I, Drug Discovery Analytics
Redwood City, California, United States
$229k-$269k/yrHybridFull Time
Revolution MedicinesNASDAQ: RVMD: Developing precision oncology therapies for RAS-addicted cancers
6+ YOEPhD in a quantitative field; 6+ years applying ML to scientific datasets; expertise in Python and scientific libraries; experience with PyTorch/TensorFlow/scikit-learn, model development/validation, and noisy experimental data.
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.
TikTok: Global short-form video hosting and social media platform.
2+ YOEBachelor's degree in a related field and 2 years ML experience; strong NLP, ML/DL, data analysis, SQL and programming (Python/R/Java/C++); experience with scientific libraries and LLMs.
Python, R, Java, C++, SQL, NumPy, SciPy, Pandas, Scikit-learn, dplyr, ggplot2, Matplotlib, Pyplot, PyTorch, Caffe2, TensorFlow, Keras, Theano, Large Language Model
Senior Research Scientist - Machine Learning System
San Jose, California, United States
OnsiteFull Time
ByteDance: Developing AI-driven content platforms and mobile applications.
Bachelor's degree in CS/EE or related, proficiency in C/C++, Python, algorithms and data structures, understanding of deep learning and PyTorch, GPU/CUDA optimization experience preferred.