79 machine learning engineer jobs at 41 companies in Brea, CA
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Machine Learning Engineer
Los Angeles, California, United States
$150k-$180k/yrOnsiteFull Time
Motorola SolutionsNYSE: MSI: Provides mission-critical communications and public safety technology.
4+ YOEBachelor's degree with 4+ years as an ML engineer; 2+ years of Python and PyTorch or TensorFlow; U.S. citizen able to obtain security clearance; strong math, ML, signal processing, and communication skills.
Python, PyTorch, TensorFlow, Software Defined Radio (SDR), Linux, Docker, Kubernetes, Jira, Microsoft Azure, Microsoft Azure DevOps, AWS
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+ YOEMust obtain U.S. government clearance; 5-15 years experience; Bachelor's in engineering; strong ML/deep learning background; proficiency in Python/Matlab/C/C++; experience with SAR and computer vision.
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.
Seattle or Santa Monica or Glendale or San Francisco
$149k-$199k/yrHybridFull Time
The Walt Disney CompanyNYSE: DIS: Produces movies, operates theme parks, and provides streaming services.
5+ YOE5+ years software/ML engineering experience, BS/MS in CS or equivalent, strong Java skill, experience with large-scale ML/DL platforms and LLM tools, good communication and problem-solving.
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.
The Walt Disney CompanyNYSE: DIS: Produces media content and operates global theme parks.
7+ YOEBachelor's in CS or related (or equivalent experience), 7+ years software engineering, 5+ years deploying ML systems, expertise in deep learning and feature engineering, cloud (AWS) and big data tech, leadership and observability experience.
San Francisco or New York or Los Angeles or Seattle
$200k-$345k/yrHybridFull Time
Whatnot: Social marketplace for buying and selling via live streams
4+ YOE4+ years building ML systems,3+ years software engineering,1+ year Python,experience with databases,monitoring,cloud services and production ML deployments.
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.
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.
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.
Mach Industries: Designs and manufactures autonomous unmanned aerial vehicles for defense.
Experience building ML data and training pipelines, PyTorch model training, edge deployment on Jetson-class hardware, Python and C++ proficiency, and expertise in dataset/versioning and multi-GPU training.
Layup Parts: Manufactures high-speed composite parts and tooling for aerospace.
Experience training custom ML models on large, structured geometric/spatial datasets; advanced object detection and classification; data pipeline and model deployment experience.
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.
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.
Esri: Global leader in geographic information system (GIS) software.
3+ YOE3+ years Python and SQL experience, ML for time series/quantitative modeling, full-stack ML (ETL→training→deployment), strong CS fundamentals, backtesting/quant finance or high-performance computing, AWS experience preferred.