1,526 machine learning developer jobs at 411 companies in California
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Machine Learning Engineer
San Francisco, California, United States
$260k-$300k/yrOnsiteFull Time
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.
Shipt: Target-owned retail-tech providing same-day grocery and household-essential delivery to U.S. consumers.
4+ YOE4+ years applying machine learning and statistics in industry, Python development, experiment design and analysis, presenting to stakeholders; MS/PhD preferred.
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.
Silvus Technologies: U.S. tactical communications manufacturer developing MANET radios and mesh-network systems for military, public-safety, and enterprise users.
4+ YOEBachelor's degree and 4+ years as a machine learning engineer, including 2+ years with Python and PyTorch or TensorFlow and 2+ years in RF signal processing; U.S. citizenship required.
Python, PyTorch, TensorFlow, Software Defined Radio (SDR), Azure, AWS, Jira, Azure DevOps, Linux, Docker, Kubernetes
AppleNASDAQ: AAPL: Designing and manufacturing consumer electronics, software, and digital services.
3+ YOERequires an MS and 3+ years in quantitative data science, with machine or deep learning, time-series modeling, Python, and ML framework expertise. PhD or 5+ years preferred.
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.
Clay: Private software providing go-to-market automation, data enrichment, and AI research tools for sales and marketing teams.
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.
Nashville or Seattle or Santa Clara or Austin or United States
$126k-$264k/yrOnsiteFull Time
Oracle CorporationNYSE: ORCL: Cloud infrastructure and enterprise software solutions provider.
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.
Lisbon or Atlanta or London or San Francisco or Santiago or Sydney or Tokyo or Toronto or Australia or Queensland or South Australia or Tasmania or Western Australia or Alberta or Manitoba or Newfoundland and Labrador or Northwest Territories or Nunavut or Prince Edward Island or Quebec or Saskatchewan or Yukon or Alaska or Hawaii or Iowa or Louisiana or Mississippi or Nebraska or New Mexico or Oklahoma or Rhode Island or South Dakota or West Virginia or Wyoming
HybridFull Time
PagerDutyNYSE: PD: Public software providing AI-powered digital operations and incident management software to business teams.
3+ YOERequires 3+ years building and shipping machine learning solutions, Python software development, data modeling, database design, ETL, unstructured data, cloud infrastructure, and ML deployment infrastructure.
CiscoNASDAQ: CSCO: Global leader in networking, cybersecurity, and cloud-native technology solutions.
3+ YOEBachelors+6yrs or Masters+3yrs in CS/ML/Math/Statistics, experience with Python/Java/C++, ML model development and deployment, LLM/LLM fine-tuning, transformers, reinforcement learning, and cross-functional collaboration.
Python, Java, C++, TensorFlow, PyTorch, Scikit-Learn, AWS SageMaker, Google Cloud AI Platform, Azure ML
Velo3DNasdaq Capital Market: VELO: Public metal additive manufacturer providing printers, software, and engineering services to aerospace, defense, energy, and industrial customers.
Experience with machine learning pipelines for geometric data and production software engineering; strong Python or C++ skills. Manufacturing, IoT, and industrial automation knowledge preferred.
Expedia GroupNASDAQ: EXPE: Global travel technology powering online booking platforms.
3+ YOEBachelor’s or master’s degree in a quantitative field, 3+ years of machine learning or data-driven systems experience, Python and ML framework proficiency, and experience with data pipelines and large datasets.
Mariana Minerals: Private software-first minerals project developer and operator supplying critical minerals for modern energy, AI, and defense technologies.
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.
AdobeNASDAQ: ADBE: Empowering everyone to create through innovative digital experiences.
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.
Petra Security: Private cybersecurity providing identity threat detection and response for Microsoft 365 MSPs.
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.
Bardeen: Private AI workflow-automation software serving business teams with browser-based agents and lead-generation tools.
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.
DoorDashNYSE: DASH: Technology enabling local on-demand delivery and commerce.
5+ YOE5+ years building production ML systems; expertise in deep learning, reinforcement learning, optimization, or LLMs/VLMs; Python, PyTorch, Spark, Airflow, ML infrastructure, and AI-assisted development tools required.
PyTorch, Spark, Airflow, Python, Claude Code, Codex, Cursor