7 machine learning platform engineer jobs at 6 companies in Corona, CA
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Machine Learning Platform Engineer
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.
Seattle or Santa Monica or Glendale or San Francisco
$149k-$199k/yrHybridFull Time
The Walt Disney CompanyNYSE: DIS: Produces media content and operates global theme parks.
5+ YOE5+ years ML-focused software engineering experience, proficiency with Java and large-scale ML platforms, experience with ML frameworks and LLMs, strong communication and problem-solving skills.
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
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.
Nominal: Software platform for testing and operating complex hardware systems.
Experienced software engineer with production AI or machine learning experience, large-scale data systems expertise, scalable backend or distributed systems skills, and zero-to-one product development experience.
AI, machine learning, time series, telemetry, observability platforms, data infrastructure, distributed systems, agent infrastructure, evaluation pipelines, retrieval systems, LLM applications, retrieval pipelines, time series databases, observability tooling, data platforms