23 machine learning engineer jobs at 6 companies in Seaside, CA
🚀PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yrOn-SiteFull Time
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.
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.
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++
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
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.
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.
Postdoctoral Research Associate
in Perceptually Optimised Video Compression
Bristol or Los Gatos
OnsiteFull Time
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.