1,052 machine learning engineer jobs at 257 companies in South San Francisco, 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.
Koch Inc.: Operates global manufacturing, refining, and industrial technology businesses.
10+ YOE10+ years building production ML for physical or engineering systems; strong Python with PyTorch or TensorFlow; engineering and simulation knowledge; Azure Machine Learning or similar cloud ML experience.
Azure Machine Learning, Python, PyTorch, TensorFlow, Azure ML, Gaussian processes, gradient-boosted trees, GNNs, PINNs, Azure GPU compute, Azure ML endpoints, model registry, EM simulation tools
Clay: Platform for automated lead enrichment and sales workflows.
5+ YOE5+ years in machine learning engineering or ML-heavy software engineering, production ML features, strong coding, LLMs or classical ML, data-intensive systems, and product-oriented problem solving.
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
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.
Waymo: Autonomous driving technology for ride-hailing and logistics.
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.
Expedia GroupNASDAQ: EXPE: Operates a global platform for travel bookings and services.
2+ YOEBachelor’s degree or equivalent, 2+ years of machine learning engineering experience, Python or Java, ML frameworks, production deployment, and real-time ML systems 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.
Clera: AI talent agent matching professionals with high-growth startup roles
8+ YOE8+ years of software engineering and machine learning experience, mandatory healthcare experience, Python and SQL proficiency, production MLOps, Databricks, Apache Spark, cloud platforms, APIs, Git, and Docker.
Machine Learning Engineer, Agentic AI Harness & Quality - Moveworks
Mountain View, California, United States
$140k-$217k/yrOnsiteFull Time
ServiceNowNYSE: NOW: Enterprise cloud platform for digital workflow automation.
Experienced software engineer with machine learning expertise; requires Python and/or Golang, deep learning and LLM knowledge, model evaluation, data quality, and production-grade software engineering.
Python, Golang, Mac, LLMs, hybrid vector databases, Microsoft Excel
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
8+ YOERequires 8+ years in production-scale machine learning engineering, 3+ years leading GPU-intensive GenAI inference systems, and expertise in inference tools, APIs, distributed systems, and technical leadership.
Security Level 5: Developing technical security standards for frontier AI systems.
Experience training models at an AI lab or equivalent; current frontier methods and infrastructure knowledge; proficiency across multi-node jobs, accelerators, orchestration, storage, and data pipelines; strong experimental design and reasoning skills.
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).