8 machine learning platform engineer jobs at 6 companies in Compton, CA
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Own the crawlers, pipelines, and infrastructure powering a real-time job search engine. Strong Node.js and Python fundamentals; bonus points for security and reverse-engineering chops.
San Francisco or New York City or Los Angeles or Seattle
$245k-$345k/yrHybridFull Time
Whatnot: Social marketplace for buying and selling via live streams
4+ YOE4+ years building ML systems, 3+ years engineering production systems, 1+ year Python, experience with distributed training/inference, databases, monitoring, and cloud services.
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.
AmgenNASDAQ: AMGN: Develops and manufactures biotechnology medicines for serious diseases.
Expertise in machine learning, MLOps and DevOps, Python and ML libraries (TensorFlow/PyTorch/Scikit-learn), cloud platforms (AWS/GCP/Azure), experience building ML pipelines, and advanced degree or extensive CS experience per listed qualification paths.
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.
Expertise in Java, C++, Python, or Scala; experience building low-latency ML model deployment and inference infra, large-scale data processing (Spark), ad-tech modeling (yield, bidding, forecasting), and productionizing models.
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
Senior Principal Machine Learning Engineer, Ad Platforms
Seattle or Santa Monica
$229k-$321k/yrHybridFull Time
The Walt Disney CompanyNYSE: DIS: Produces media content and operates global theme parks.
12+ YOEBS or MS in Computer Science/Engineering; 12+ years software engineering; strong ML/AI expertise; experience with ML frameworks and ad tech; open AI models and tuning; leadership/mentoring capabilities.
Principal Software Engineer, Machine Learning Infrastructure
Palo Alto or Seattle or Los Angeles or New York or Bellevue
$235k-$414k/yrOnsiteFull Time
SnapNYSE: SNAP: Develops social media applications and augmented reality technology.
10+ YOE10+ years software development experience, technical leadership, distributed systems and ML inference platform expertise, strong software design and debugging skills, ability to operate highly-available systems at scale.