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.
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
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.
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.
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.
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.
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.
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.