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.
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.
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.
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.
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.
Hadrian: Building autonomous factories for aerospace and defense manufacturing.
5+ YOE5-8 years building and shipping computer vision detection/segmentation models; expertise with transformer backbones; strong Python and PyTorch; production deployment ownership; MS/PhD preferred.
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.
VeritoneNASDAQ: VERI: Provider of artificial intelligence software and media analytics platforms.
3+ YOE3+ years building and deploying ML models in production, deep Python and ML libraries proficiency, experience with LLMs/RAG, API/backend design, and working with RDBMS/NoSQL/Vector DBs.
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.
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.
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
Machine Learning Engineer, Monetization Data Alignment
Singapore or Los Angeles or New York City or London or Dublin or Paris or Berlin or Dubai or Jakarta or Seoul or Tokyo
OnsiteFull Time
TikTok: Global short-form video hosting and social media platform.
3+ YOE3+ years ML experience, BS or above in CS/AI/math/stat, strong ML/deep learning background, experience taking models to production, expertise in LLM/MLLM/NLP/CV/multimodal techniques, strong problem solving and collaboration skills.
The Walt Disney CompanyNYSE: DIS: Produces movies, operates theme parks, and provides streaming services.
7+ YOEBachelor’s in CS or related (or equivalent experience), 7+ years software engineering, 5+ years deploying ML systems, expertise in deep learning/statistics, experience with Spark, Databricks, AWS services, Kafka/Kinesis, Datadog, REST, and leadership/mentoring skills.
3+ YOE3+ years post-bachelor’s ML experience (or advanced degree + experience). Experience building and deploying ML models, strong ML algorithm knowledge, collaboration and mentorship skills, and experience with ML frameworks.
TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, Microsoft Excel
Palo Alto or Seattle or San Francisco or Los Angeles or New York City or Bellevue
$147k-$259k/yrOnsiteFull Time
SnapNYSE: SNAP: Develops social media applications and augmented reality technology.
3+ YOE3+ years post-Bachelor’s ML experience (or advanced degree + experience). Experience building and deploying ML models for ranking/recommendation/search, strong ML fundamentals, collaboration, mentorship, and ability to use AI tools and production ML workflows.
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