1,801 machine learning developer jobs at 401 companies in Berkeley, CA
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Machine Learning Engineer
New York City or San Francisco
$141k-$176k/yrHybridFull Time
LyftNASDAQ: LYFT: Ridesharing and transportation-as-a-service mobility platform.
2+ YOERequires a BS/MS in computer science or related field, 2+ years of machine learning experience, deep learning framework experience, statistical knowledge, production ML experience, and programming proficiency.
Hippocratic AI: Healthcare technology developing non-diagnostic generative AI agents for health systems, payors, and pharmaceutical companies.
Requires strong machine learning engineering, Python, production ML, data pipelines, distributed training, experiment tracking, feedback-loop experience, reinforcement learning knowledge, and ML systems evaluation skills.
CoinbaseNASDAQ: COIN: Provides secure cryptocurrency exchange and digital asset services.
Ph.D. candidate with machine learning research, model development, ML framework, production Python, software engineering, and generative AI experience.
WorkdayNASDAQ: WDAY: Enterprise cloud applications for finance and human resources.
5+ YOE5+ years in data science, machine learning, or software development; 3+ years with Python, ML frameworks, large-scale datasets, and model development. Advanced degree is a plus.
AppleNASDAQ: AAPL: Designing and manufacturing consumer electronics, software, and digital services.
6+ YOEPh.D. or equivalent industry experience, 6+ years in applied research or machine learning, expert deep learning and NLP knowledge, LLM development, Python, ML frameworks, and production deployment experience.
Hyperbound: Private AI sales-coaching platform helping enterprise revenue teams practice conversations and improve performance.
Own machine learning models end to end, including training, fine-tuning, production deployment, on-device execution, evaluation frameworks, benchmarks, and regression suites.
Nox Metals: Private automated aluminum plate and bar supplier for aerospace, defense, and industrial manufacturers.
Strong applied machine learning, statistics, and software engineering; Python and SQL; rigorous evaluation; ability to deploy and maintain models; curiosity about factories and supply chains.
Somerville or United States or Boston or San Francisco or Seattle or New York City or Austin
$170k-$200k/yrHybridFull Time
Modulate: Privately held voice-AI serving enterprises with audio intelligence for fraud, compliance, and safety.
Requires machine learning research and production experience, strong Python and PyTorch skills, experiment design, model evaluation, cross-functional collaboration, and clear technical communication.
Oracle CorporationNYSE: ORCL: Cloud infrastructure and enterprise software solutions provider.
3+ YOE3-5+ years experience; machine learning and software development expertise; proficiency with PyTorch, TensorFlow, Keras; English proficiency; U.S. work authorization required.
AtlassianNASDAQ: TEAM: Unleashing the potential of every team.
Principal-level ML engineering role requiring advanced expertise in machine learning, model development, experimentation, and technical leadership; no explicit years or degree stated.
Capable Labs: AI-enabled biotechnology developing peptide and nucleotide therapeutics to expand human capabilities.
Build and evaluate machine-learning systems for drug discovery, including biomolecular modeling, experiment planning, predictive analysis, and active-learning loops connecting computational predictions with laboratory results.
Waymo: Autonomous driving technology and robotaxi service provider.
3+ YOEBachelor’s degree in machine learning, robotics, or computer science; 3+ years of machine learning or computer vision experience; production active learning, large-scale ML pipelines, Python, and PyTorch or JAX proficiency.
SwingVision: AI-powered tennis and pickleball app providing players, coaches, and teams automated scoring, statistics, highlights, and line calling.
Bachelor's degree in Computer Science, Data Science, or related field; basic understanding of machine learning; familiarity with Python and ML libraries such as PyTorch and TensorFlow; strong problem-solving skills; avid user of SwingVision.
The Walt Disney CompanyNYSE: DIS: A leading global entertainment and media conglomerate.
7+ YOE7+ years developing and deploying machine learning models, recommendation systems experience, AI and LLM expertise, and proficiency with PyTorch, TensorFlow, Databricks, Spark, and SQL. BS or MS required.
1+ YOEMaster's degree in Computer Science, Machine Learning, or related field with 1-3 years experience; strong software engineering fundamentals; hands-on Docker and Kubernetes; ML foundations; computer vision and model evaluation; production mindset.
Mountain View or San Francisco or Austin or United States
$171k-$269k/yrRemoteFull Time
AtlassianNASDAQ: TEAM: Unleashing the potential of every team.
Senior Machine Learning Engineer with experience in forecasting models, deep learning, and end-to-end ML lifecycle; ability to mentor and collaborate across teams.
OpenMind: Private robotics software building AI infrastructure and robot orchestration for human-facing service and industrial fleets.
1+ YOEMS or PhD in machine learning, robotics, computer science or related field; 1+ years industry or applied research experience training and shipping ML models; strong Python, Go, or C++ and PyTorch or JAX; experience with multimodal models, edge hardware, TensorRT, ONNX, ROS2, Docker.
Skyflow Labs India Private Limited: Indian private subsidiary of Skyflow providing data privacy and AI data security software to enterprise customers.
8+ YOERequires 8+ years in machine learning, Go or Python proficiency, production ML systems experience, NLP/NER, ML libraries, deep learning frameworks, scalable distributed systems, and performance engineering.
MyOme: Private clinical whole-genome analysis using AI to assess inherited-disease risk for families and healthcare providers.
5+ YOEMS or PhD in computer science, statistics, biomedical informatics, bioengineering, or related field (PhD preferred) or equivalent experience; 5+ years developing ML and deep learning models, including 3+ years in production; strong Python and SQL; experience with cloud environments (GCP or AWS).