1,315 machine learning jobs at 313 companies in Palo Alto, 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.
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
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.
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.
Chicago or Washington or Tallahassee or Sarasota or Hartford or Nashville or Costa Mesa or San Jose or Atlanta or Boston or Burlington or Cleveland or Columbus or Dallas or Denver or Fort Lauderdale or Fort Wayne or Grand Rapids or Indianapolis or Knoxville or Lexington or Livingston or Plano or Louisville or Los Angeles or Miami or The Woodlands or New York City or Oakbrook Terrace or Sacramento or San Francisco or South Bend or Springfield or Tampa or Houston or Austin or Charlotte
$27-$42/hrOnsiteFull Time, Internship
Crowe: Global professional services firm providing audit, tax, and consulting.
Data science internship involving machine learning modeling, Python development, Linux, Git, Docker, CI/CD, Kubernetes, code reviews, and agile processes. Relevant majors include data science, computer science, mathematics, and natural or social sciences.
Shipt: Provides same-day delivery services from local retailers via app.
4+ YOE4+ years applying machine learning and statistics in industry, Python development, experiment design and analysis, presenting to stakeholders; MS/PhD preferred.
Nashville or Seattle or Santa Clara or Austin or United States
$126k-$264k/yrOnsiteFull Time
OracleNYSE: ORCL: Provides cloud infrastructure and enterprise software for global businesses.
6+ YOERequires 6–10+ years of experience developing and productionizing machine learning models, automating ML workflows, monitoring model performance, writing code, and integrating models into software systems.
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.
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.
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.
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.
Mariana Minerals: Building software-first infrastructure to produce and refine critical minerals.
0+ YOE0–4 years ML or scientific computing experience; strong ML fundamentals and deep learning exposure; reinforcement learning a plus; proficiency in Python; ability to debug codebases and collaborate with process/chemistry experts.
OpenAI: Develops artificial intelligence models and generative AI software services.
7+ YOEMaster's or PhD in computer science, machine learning, or related field, or equivalent experience; 7+ years in relevant engineering; production AI systems, deep learning, transformers, Python or Rust, and distributed systems experience.
Tacit: Developing advanced hardware to rethink human-computer interaction.
PhD or equivalent experience in ML/computational neuroscience, expertise in deep learning, proficiency in PyTorch/TensorFlow and Python, experience deploying models, strong communication and collaboration skills.
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.
Casap: A building AI-native disputes automation and fraud prevention platform.
3+ YOE3+ years designing and deploying ML models in production; strong ML algorithms and data analysis; building ML infra; Python/R and ML frameworks (TensorFlow, PyTorch, scikit-learn).
Onepot: An automation combining artificial intelligence and advanced robotics to accelerate chemistry research.
Strong machine learning fundamentals, modern empirical ML expertise, model training experience, and familiarity with PyTorch or other ML frameworks; no formal education required.