49 senior machine learning engineer jobs at 23 companies in Wrightwood, CA
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Senior Machine Learning Engineer
San Francisco or Los Angeles or New York City
$70-$75/hrHybridContract
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.
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.
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.
The Walt Disney CompanyNYSE: DIS: Produces media content and operates global theme parks.
5+ YOE5+ years building/operating large-scale data or ML systems; strong distributed-systems fundamentals; experience with Kafka/Kinesis/Spark/Flink; proficiency in Python and familiarity with Java, Scala, Go, C++; cloud-native (AWS, Kubernetes); Bachelor’s/Master’s in related field.
Field AI: Develops autonomous software brains for robots in unstructured environments.
4+ YOEBachelor's or Master's in CS/AI/Statistics or related, 4+ years industry ML experience, proficiency in Python and PyTorch/TensorFlow/JAX, C++ for deployment, deep learning and navigation stack knowledge, production deployment experience.
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.
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.
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.
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.
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.
5+ YOE5+ years post-Bachelor’s ML experience (or equivalent with advanced degree), strong ML knowledge, experience building/deploying large-scale ML systems, familiarity with ranking/recommendation/search/image ML, strong collaboration and mentorship skills.
NetflixNASDAQ: NFLX: Global video streaming and media production service.
7+ YOE7+ years software engineering; 3+ years ML infrastructure, model serving, or ML platform experience in ads/real-time decisioning; real-time model serving with sub-20ms latency; proficiency in Java, Python, or Scala; experience with ML serving frameworks and real-time feature pipelines; strong model monitoring and production readiness.
Java, Python, Scala, ML serving frameworks, feature stores, model registries
3+ YOE3+ years in AI/ML, DSP, and deep learning; strong MATLAB/Python/C/C++; experience with PyTorch/TensorFlow; design and deploy ML models for biomedical data.
Senior ML Ops Engineer (Machine Learning Infrastructure)
Los Angeles, California, United States
$150k-$250k/yrHybridFull Time
Parallel Systems: Building autonomous battery-electric rail vehicles for freight transportation.
5+ YOE5+ years building large-scale systems with 2+ years on ML infrastructure; BS in CS/ML/engineering; proficiency in Python and Git; experience with CI/CD, distributed training, cloud ML architectures; strong communication and system design skills.
Match GroupNASDAQ: MTCH: Operates a portfolio of global online dating applications.
5+ YOEBachelor's degree plus 5 years, or master's degree plus 3 years, in ML infrastructure or backend engineering. Requires distributed ML systems, programming, cloud, containerization, observability, databases, CI/CD, and GitOps experience.
United States or San Francisco or New York City or Los Angeles or Chicago
$230k-$322k/yrRemoteFull Time
RedditNYSE: RDDT: Social platform for community-driven discussion and content sharing.
4+ YOE2+ MgmtManagerial experience building ML teams, deep hands-on ML expertise, end-to-end model lifecycle and production deployment experience, 4+ years with TensorFlow or PyTorch, strong strategic and communication skills; Ads/engagement modeling preferred.