77 senior machine learning engineer jobs at 34 companies in Santa Clarita, CA
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Senior Machine Learning Engineer - News
New York or Glendale
$149k-$199k/yrHybridFull Time
The Walt Disney CompanyNYSE: DIS: Produces movies, operates theme parks, and provides streaming services.
5+ YOE5+ years in production ML engineering; strong CS/math background; backend microservices; cloud (AWS); data pipelines; ML Ops; leadership and collaboration.
Warner Bros. DiscoveryNasdaq: WBD: Produces and distributes multimedia entertainment content and news worldwide.
5+ YOE5+ years ML engineering experience, deep Python, Databricks and Snowflake proficiency, production ML deployment, ML evaluation and experimentation, strong software engineering and communication skills.
5+ YOE5+ years building production ML models for real decisions; strong Python, SQL, deep learning, classical ML, time-series data, evaluation, backtesting, and model regression infrastructure experience.
8+ YOEPhD (8+ yrs) or MS (10+ yrs) in a relevant technical field; 8+ years designing, building, and deploying ML/DL/Gen-AI models; hands-on experience with production ML/LLM ops, scalable systems, and leading technical teams.
Hadrian: Building autonomous factories for aerospace and defense manufacturing.
5+ YOE5+ years deep learning experience with 2+ years on multimodal image+text models, strong Python and PyTorch, production deployment experience, MS/PhD preferred in CS/EE or related.
Voyager TechnologiesNYSE: VOYG: Provides advanced defense and commercial space technology solutions.
5+ YOERequires 5–15 years of applicable experience, a bachelor's degree in engineering or related field, Python, and eligibility for US government clearance. Machine learning and deep neural network expertise preferred.
The Walt Disney CompanyNYSE: DIS: Produces media content and operates global theme parks.
5+ YOE5+ years building and operating ML systems; expertise in data science and ML; backend microservices; AWS cloud; Spark/Kinesis; production-grade systems.
Niagara Bottling: Manufactures and distributes private label bottled water and beverages.
5+ YOEBachelor's in a quantitative field required (Master/PhD preferred); strong Python and ML framework experience (PyTorch/TensorFlow); production MLOps, cloud, and industrial data experience; preferred 5+ years in ML/industrial AI.
Senior Machine Learning Engineer, TikTok BRIC Community Health
San Jose or Los Angeles or Singapore or New York City or London or Dublin or Paris or Berlin or Dubai or Jakarta or Seoul or Tokyo
$162k-$388k/yrOnsiteFull Time
TikTok: Global short-form video hosting and social media platform.
2+ YOEMaster's degree or above in a relevant technical field and 2+ years of machine learning experience. Requires strong software engineering, machine learning, Python or Java/C++/Go, and Spark, Hadoop, or Hive experience.
Palo Alto or Seattle or San Francisco or Los Angeles or New York City or Bellevue
$178k-$313k/yrOnsiteFull Time
SnapNYSE: SNAP: Develops social media applications and augmented reality technology.
5+ YOE5+ years post-Bachelor’s ML experience (alternatively advanced degree + fewer years); strong ML fundamentals, production ML lifecycle experience, collaboration and mentorship, proficiency with modern ML frameworks and AI tools.
Prodege: Marketing and consumer insights platform powered by loyalty programs.
6+ YOE6+ years experience in ML/Software/MLOps, 3+ years deploying production ML systems; strong ML, MLOps, experimentation, and software engineering skills; mentoring experience.
TikTok USDS Joint Venture: Operates and secures TikTok services for U.S. users.
5+ YOEProficient in SQL and Python, experience with Hadoop/Spark, strong ML and data engineering skills, analytical problem-solving, and experience improving ad/recommendation systems.
5+ YOEBachelor’s degree or equivalent experience and 5+ years of post-bachelor’s machine learning experience, or advanced degree with corresponding experience; Python/C++, PyTorch/TensorFlow, and generative ML expertise.
Pasadena or San Francisco or Washington or United States
HybridFull Time
Primer: Provides AI-powered data analysis software for national security.
6+ YOE6+ years building production backend and ML-driven systems; experience with LLMs, agentic systems, retrieval/RAG, evals, PyTorch, Python; BS/MS/PhD or equivalent.
Staff Machine Learning Engineer - League of Legends
Los Angeles, California, United States
$229k-$320k/yrOnsiteFull Time
Riot Games: Developing and publishing competitive multiplayer video games.
6+ YOEBachelor's or equivalent experience; 6+ years delivering ML systems (3+ in applied modeling); experience with complex data, production ML, mentoring, strong communication.
Staff Machine Learning Engineer - Game Tech Group, ML Platform
Los Angeles, California, United States
$229k-$320k/yrOnsiteFull Time
Riot Games: Develops and publishes video games and esports content.
6+ YOERequires 6+ years in engineering with ML/AI, platform, or infrastructure experience; inference platforms, CI/CD, infrastructure-as-code, distributed services, GPU orchestration, and performance tuning.
San Francisco or Sunnyvale or Los Angeles or Seattle or New York City
$204k-$299k/yrOnsiteFull Time
DoorDashNASDAQ: DASH: On-demand delivery platform connecting consumers with local merchants.
Deep causal inference, econometrics, experimentation, or causal ML experience; production ML engineering; rigorous model evaluation; and ability to collaborate across engineering, analytics, product, and business teams.
Software Machine Learning Engineer (Westlake Village, CA, US)
Westlake Village or North Reading
$242k-$387k/yrHybridFull Time
TeradyneNASDAQ: TER: Designs and manufactures automated test equipment and advanced robotics systems.
Senior AI/ML engineer experienced in robotics, sensor technologies, production AI deployment, data engineering, model evaluation, simulation, SLAM, localization, NVIDIA Isaac, and robotic manipulators or mobile platforms.
RGBD, LiDAR, Time-of-Flight (ToF), SLAM, NVIDIA Isaac
NetflixNASDAQ: NFLX: Provider of global streaming entertainment and video content.
Experience building end-to-end ML deployment and low-latency inference infra for real-time ad systems; handling large-scale data with Spark; forecasting ad metrics; building scalable simulations; cross-functional collaboration.