23 machine learning engineer jobs at 6 companies in Seaside, CA

PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yr On-SiteFull Time
HiringCafe
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
Python, PyTorch, vLLM, SGLang, TensorRT, LLMs
PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yr On-SiteFull Time
HiringCafe
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.
Python, PyTorch, Elasticsearch, LLMs
1mo
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Sr. Fellow Machine Learning Engineer
San Jose or Bellevue or United States
$256k-$438k/yr HybridFull Time
AMD
AMDNASDAQ: AMD: Designs and manufactures computer processors and graphics technology.
Experience with distributed training pipelines and algorithms for large models, proficiency with PyTorch/JAX/TensorFlow and distributed frameworks, strong Python and C++ skills, master\u0002s or PhD in CS/AI/ML, and experience optimizing training on GPU clusters.
PyTorch, JAX, TensorFlow, TorchTitan, Megatron-LM, Python, C++
1mo
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Machine Learning Engineer 5 - Ads Inventory Management & Forecasting
Los Gatos or New York or Los Angeles
$466k-$750k/yr OnsiteFull Time
Netflix
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.
Spark, Lucene, VAST, OpenRTB, SSP, DSP
1mo
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Machine Learning Engineer 5 - Decisioning & Optimization
New York or Los Angeles or Los Gatos or Seattle
$466k-$750k/yr OnsiteFull Time
Netflix
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
1mo
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Machine Learning Engineering Manager, App SW
Sunnyvale or Detroit
$336k-$382k/yr HybridFull Time
Wayve
Wayve: Develops AI software for autonomous vehicle navigation.
Leadership in robotics/autonomy; experience building high-performing teams; ability to define goals and roadmaps; strong cross-functional collaboration; excellent communication and product sense.
2mo
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Machine Learning Compute Efficiency Lead, Infrastructure & Planning
Cupertino, California, United States
OnsiteFull Time
Apple
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
MS or PhD; experience with foundation model serving/inference at scale; PyTorch/JAX; cluster tools (Slurm/Kubernetes); capacity planning; cost optimization.
PyTorch, JAX, Slurm, Kubernetes, GPU, TPU, hardware
3w
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EMIR Engineer, Annapurna Labs - Cloud Scale Machine Learning
Austin or Cupertino
$136k-$213k/yr OnsiteFull Time
Amazon
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
Experienced EM/IR engineer for SoC EMIR sign-off, power-grid design and analysis, EMIR flow setup, cross-domain IR analysis (die/package/board), EDA tool collaboration, and post-silicon correlation.
SystemVerilog, Make, FusionCompiler, Innovus, PrimePower, PrimeTime, ARM
2w
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Postdoctoral Research Associate in Perceptually Optimised Video Compression
Bristol or Los Gatos
OnsiteFull Time
University of Bristol
University of Bristol: A research-intensive university providing higher education and degree programs.
PhD in electrical/electronic engineering, computer science or related discipline (or equivalent industrial experience); strong research record in video compression and machine learning; project management and leadership; excellent English; ability to collaborate with industry partners.
AoM (AV2)