8 ml platform engineer jobs at 2 companies in Monterey, 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.
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.
AMDNASDAQ: AMD: Designs and manufactures computer processors and graphics technology.
Senior software engineer for Physical AI: develop and optimize perception, computer vision, and AI workloads for embedded/edge systems. Strong C++, Python, Linux skills; experience deploying ML/DL on edge, performance profiling, and hardware/software integration.
Vitis AI, AMD Versal AI Edge, C++, Python, Linux, ONNX, PyTorch, TensorFlow, ROS 2, OpenGL, Vulkan, Wayland, Linux kernel, Zynq UltraScale+, Kria, AI Engines, CPU, GPU, NPU, FPGA
AMDNASDAQ: AMD: Designs and manufactures computer processors and graphics technology.
5+ YOE5+ years in DevOps/platform/infrastructure engineering; deep Kubernetes experience; experience building developer-facing platforms, Helm and GitOps workflows, storage/networking for GPU workloads; Terraform, monitoring, and ML framework exposure preferred.
Engineering Manager, Platform Systems — AIMS Engineering
Los Gatos, California, United States
$523k-$920k/yrOnsiteFull Time
NetflixNASDAQ: NFLX: Provider of global streaming entertainment and video content.
Senior engineering leader with significant experience leading platform/infrastructure teams for distributed systems and large-scale ML infrastructure; proven program leadership, GenAI tooling experience, and ability to hire and develop engineering talent.
NetflixNASDAQ: NFLX: Global video streaming and media production service.
Proficient in Java, C++, Python, or Scala; experience deploying ML models for low-latency ads systems; big data with Spark; knowledge of ad tech and revenue optimization.
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.
Distributed Systems Engineer 6 - Decisioning & Optimization
New York City or Seattle or Los Angeles or Los Gatos
$499k-$900k/yrOnsiteFull Time
NetflixNASDAQ: NFLX: Provider of global streaming entertainment and video content.
10+ YOE10+ years building large-scale distributed systems (3+ years in ads); expertise in ML model serving with sub-20ms P99, ad serving/bidding/pacing systems, API and platform design, technical leadership, and 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