4 platform ml engineer jobs at 2 companies in Monterey, CA

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Staff ML Software Engineer (L6) — Platform Systems, AIMS Engineering
Los Gatos, California, United States
$600k-$1066k/yr OnsiteFull Time
Netflix
NetflixNASDAQ: NFLX: Provider of global streaming entertainment and video content.
5+ YOEExtensive experience designing, building, and operating large-scale production AI/ML systems; deep Python expertise and JVM (Scala/Java) proficiency; strong distributed systems, observability, cost-optimization, and cross-team collaboration skills.
Python, Scala, Java, LLM
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Integration Engineer - Perception and Platform
San Jose, California, United States
$179k-$306k/yr RemoteFull Time
AMD
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
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Engineering Manager, Platform Systems — AIMS Engineering
Los Gatos, California, United States
$523k-$920k/yr OnsiteFull Time
Netflix
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.
Python
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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