52 machine learning engineer python developer jobs at 32 companies in Anaheim, CA
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Machine Learning Engineer II
Irvine, California, United States
$97k-$162k/yrHybridFull Time
Panasonic Avionics CorporationTokyo Stock Exchange: 6752: Provides in-flight entertainment and connectivity systems for airlines.
2+ YOEBachelor's in CS/Data Science/Software Engineering required, 2+ years software engineering experience, proficiency in Python or Java, experience with TensorFlow or PyTorch, machine learning and data-pipeline experience.
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.
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.
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.
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.
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.
Yum! BrandsNYSE: YUM: Global operator of quick-service restaurant brands.
4+ YOERequires 4+ years developing and deploying production ML solutions, proficiency in Python, message queues (Kafka/Pulsar/RabbitMQ), Docker, Kubernetes, and strong analytical and communication skills.
Esri: Global leader in geographic information system (GIS) software.
8+ YOE8+ years software engineering experience, strong Python proficiency, production system design, ML model integration, cloud-native and CI/CD/MLOps experience, strong communication and ownership.
KFC Pan EuropeNYSE: YUM: Quick-service restaurant chain specializing in fried chicken products.
4+ YOEBachelor's degree in CS/related, 4+ years developing and deploying production ML systems, proficiency in Python, message queue tech (Kafka/Pulsar/RabbitMQ), Docker/Kubernetes, strong analytical and communication skills.
Capital Group: Providing active investment management and research-driven financial strategies
7+ YOE7+ years software engineering experience; strong Python; production ML, GenAI/LLM and agentic systems experience; hands-on Databricks and/or AWS; CI/CD and IAC experience; bachelor’s degree in CS/IT or related.
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 movies, operates theme parks, and provides streaming services.
5+ YOEExperience building and operating large-scale data/ML systems, strong distributed systems fundamentals, streaming/batch technologies (Kafka, Kinesis, Spark, Flink), Python, plus working knowledge of Java/Scala/Go/C++, cloud-native (AWS, containers, Kubernetes, IaC), observability, and collaboration skills; Bachelor's or Master's required.
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.
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.
Confie: Distributes personal and small commercial insurance products nationwide.
Master's in a quantitative field required; strong Python and SQL skills; experience with large data, Snowflake/Snowpark, LLMs, LangChain, and deploying production ML/LLM solutions.
Machina Labs: Software-defined robotic platforms for flexible sheet metal manufacturing.
3+ YOEMaster’s or PhD in CS/ML/AI with 3-6+ years of ML experience; Python; Azure; Databricks/Spark; data wrangling; end-to-end ML; manufacturing context.
Los Gatos or Seattle or New York City or Los Angeles
$466k-$750k/yrOnsiteFull Time
NetflixNASDAQ: NFLX: Provider of global streaming entertainment and video content.
Experience building advertising measurement products and production ML systems; strong software engineering; proficiency in Java, Python, or Scala; experience with large-scale data processing and MLOps is a plus.
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