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.
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.
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.
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.
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.
8+ YOE8+ years ML experience; degree in a technical field; experience with ranking models and large-scale ML systems; strong collaboration and leadership.
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.
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
TWG Global: Investment holding scaling AI across finance and sports.
Strong ML engineering with streaming systems, low-latency/high-throughput inference, production AWS experience, proficiency in Go and Python; familiarity with financial market data or chain-data is a plus.
Rainmaker: Provides cloud seeding services using drones and radar.
Experienced ML researcher/engineer with strong Python and modern ML framework skills, ability to work with multimodal geospatial data, design experiments, and deliver operational prototypes.
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.