923 machine learning engineer jobs at 234 companies in Clayton, CA
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Machine Learning Engineer
San Francisco, California, United States
$176k/yrHybridFull Time
Bardeen: AI-powered platform for automating browser-based workflows and tasks.
1+ YOEMaster's in computational science and engineering or related machine learning field plus 1 year of experience with deep learning, LLMs, Python, cloud infrastructure, evaluation, monitoring, and distributed inference.
IntuitiveNASDAQ: ISRG: Robotic-assisted systems for minimally invasive surgery.
1+ YOEMaster's +4 years or PhD +1 year (or equivalent experience). Expertise in medical image analytics/computer vision/machine learning. Strong Python and/or C++ skills, communication, and technical ownership.
RokuNASDAQ: ROKU: Operates a TV streaming platform and sells streaming hardware.
5+ YOE5+ years applied machine learning experience; strong statistical, optimization, and experimental methodology knowledge; proficient in Spark, Python or Java; experience with real-time, low-latency systems and distributed ML frameworks.
MaxInsights: Provides robot data collection for physical AI development.
3+ YOE3+ years building and shipping ML systems, proficiency in Python and major deep learning frameworks (PyTorch or TensorFlow), experience with training/evaluation/deployment and production ML pipelines.
Shipt: Provides same-day delivery services from local retailers via app.
5+ YOE5+ years of machine learning and backend software engineering; backend in Go/Java and Python; embeddings, similarity search, ranking models; ML pipelines; distributed systems; SQL/NoSQL; API serving; A/B testing.
PayPalNASDAQ: PYPL: Global digital payments platform for consumers and merchants.
Master’s degree in mathematics, statistics, or related field; machine learning experience with Python, SQL, deep learning, NLP, statistical analysis, visualization, Unix, Bash, Git, and interactive notebooks.
Python, NumPy, PyTorch, SQL, Google BigQuery, HiveQL, Jupyter Notebooks, Google Colab, Microsoft Excel, Unix, Bash, Git
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
6+ YOE6+ years industry ML experience, BS/MS in CS/Engineering or equivalent, strong C++ and Python skills, experience with LiDAR/camera perception, deep learning frameworks, and ML productionization.
RobloxNYSE: RBLX: Platform for creating and playing user-generated 3D digital experiences.
Expertise in machine learning and modeling, strong distributed systems fundamentals, ability to architect ML infrastructure for production, experience with logs/traces/metrics, and strong communication skills.
Affinity: Relationship intelligence platform for financial dealmakers.
5+ YOE5+ years software engineering/ML experience, production ML deployment, ranking/recommendation systems, Python and ML frameworks (PyTorch, Scikit-learn), vector/graph DB exposure, observability and A/B testing experience.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Applied machine learning and strong software engineering skills; experience with ML/LLM and distributed systems; focus on building privacy-preserving, generative AI features for consumer products.
Petra Security: AI-powered identity threat detection for Microsoft 365 environments.
4+ YOE4+ years of machine learning engineering experience shipping production models; quantitative fundamentals, production-grade coding, and experience with streaming pipelines, feature stores, high-performance databases, and distributed systems.
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
5+ YOEBachelor's in quantitative field or equivalent,5+ years building and operating production ML systems,experience with LLMs/GenAI,fluency in Python and SQL,rigorous evaluation and experimentation skills.
Leonberg or London or Sunnyvale or Yokohama or Herzliya or Vancouver
HybridFull Time
Wayve: Develops AI software for autonomous vehicle navigation.
Experience building and shipping computer-vision focused deep learning systems; familiarity with 3D perception (LiDAR, multi-view geometry, tracking, 3D reconstruction); experience across ML data, training, evaluation, and scalable data pipelines.
WorkdayNASDAQ: WDAY: Provides cloud-based software for financial and human capital management.
7+ YOE7+ years ML engineering experience (10+ for principal), strong ML/deep learning background, experience with LLMs and production model hosting, cloud experience (AWS/GCP), leadership/mentoring experience, Bachelor's in CS/engineering/physics/math required (advanced degrees preferred).
AtlassianNASDAQ: TEAM: Develops software for team collaboration and project management.
Drive technical direction, design and deploy production ML models (ranking, retrieval, LLM systems), conduct experiments, and mentor engineers across teams.
Clera: AI talent agent matching professionals with high-growth startup roles
8+ YOE8+ years ML engineering experience in healthcare with HIPAA-compliant systems, end-to-end ML lifecycle ownership, MLOps, cloud and container experience.
Saris AI: Automates banking back-office workflows using autonomous AI agents.
8+ YOE8+ years ML/AI engineering with technical lead experience, productionizing LLM/agent systems, monitoring and reliability, strong ML fundamentals, and people leadership.
Mercor: Connecting expert human intelligence with frontier AI model development.
Experience shipping ML systems; expertise in ranking, recommendation, search, or matching; comfortable across applied ML stack (data, features, training, inference); strong engineering fundamentals and product impact focus.
Seattle or Santa Monica or Glendale or San Francisco
$149k-$199k/yrHybridFull Time
The Walt Disney CompanyNYSE: DIS: Produces movies, operates theme parks, and provides streaming services.
5+ YOE5+ years software/ML engineering experience, BS/MS in CS or equivalent, strong Java skill, experience with large-scale ML/DL platforms and LLM tools, good communication and problem-solving.