7 machine learning scientist jobs at 2 companies in Seaside, CA
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Machine Learning Scientist 5 - Ads Bidding
United States or Los Angeles or Los Gatos
$466k-$750k/yrRemoteFull Time
NetflixNASDAQ: NFLX: Provider of global streaming entertainment and video content.
Advanced degree in a quantitative field, proficiency in Python/Scala/Java, deep ML and optimization knowledge, experience deploying algorithms on large-scale production data, and experience building bidding algorithms.
NetflixNASDAQ: NFLX: Provider of global streaming entertainment and video content.
Advanced degree (MS or PhD) in a technical field, strong ML lifecycle experience, proven track record delivering ML solutions, expertise in Python and ML/DL frameworks, exceptional communication and collaboration skills.
Machine Learning Scientist 5 - Multi-modal Algorithms for Games
Los Gatos or Los Angeles
$466k-$750k/yrOnsiteFull Time
NetflixNASDAQ: NFLX: Provider of global streaming entertainment and video content.
Expertise in multi-modal ML (LLMs, VLMs), model optimization (distillation, pruning, quantization), Python and PyTorch experience, data curation, and deploying efficient models for low-latency cloud and edge use.
NetflixNASDAQ: NFLX: Global video streaming and media production service.
Advanced degree in a quantitative field; proficiency in Python, Scala or Java; experience building bidding algorithms on large-scale data; strong communication skills.
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
3+ YOEPhD or Master's + experience in CS/CE/ML, 3+ years building models for business applications, publications/patents, programming in Java/C++/Python, and experience in algorithms, optimization, parallel/distributed or high-performance computing.
Research Scientist 4 - Machine Learning and Inference Research, LLM Post-Training
New York City or Los Angeles or Los Gatos
$300k-$537k/yrOnsiteFull Time
NetflixNASDAQ: NFLX: Global video streaming and media production service.
Ph.D. in Computer Science or related field with specialization in post-training LLMs and RL; top-tier publications; strong technical communication, collaboration, and self-motivation to drive research to impact.