11 senior machine learning engineer tech lead jobs at 8 companies in San Jose, CA
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Machine Learning Infrastructure Tech Lead
San Francisco, California, United States
$200k-$300k/yr OnsiteFull Time
5+ YOE5+ years building production infrastructure with significant ML systems experience; strong Python, Kubernetes, GPU training/serving, distributed systems, and performance optimization skills.
Python, Kubernetes, CUDA, Triton, vLLM, SGLang, PyTorch, TensorRT-LLM, Ray
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Senior Staff Machine Learning Engineer, Agentic Application
Mountain View, California, United States
$201k-$352k/yr OnsiteFull Time
10+ YOEBS or higher in CS or related,10+ years building scalable systems,ability to tech-lead engineering delivery,strong product sense,cross-functional collaboration,experience with LLMs/Generative AI.
LLMs, Generative AI
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Tech Lead, Machine Learning Infrastructure Engineer - USDS
San Jose, California, United States
$187k-$438k/yr OnsiteFull Time
5+ YOEBachelor's/Master's in CS or related,5+ years software engineering,3+ years ML infrastructure,expertise in Python/C++/Java,PyTorch/Tensorflow,Kubernetes,Slurm,CUDA and GPU cluster management.
Python, C++, Java, PyTorch, Tensorflow, Kubernetes, Slurm, CUDA, InfiniBand, RoCE, Megatron, DeepSpeed, Triton, Cutlass, TensorRT, Triton Inference Server
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Tech Lead Machine Learning Engineer - CV/NLP/Multimodal LLM, Trust and Safety
San Jose, California, United States
$245k-$588k/yr OnsiteFull Time
4+ YOEMaster's or PhD in CS/ML/AI,4+ years ML system development,experience leading technical teams,deploying large-scale models,expertise in CV/NLP/LLM/multimodal modeling.
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Lead Machine Learning Engineer - Agentic Models, LLM, RAG, GenAI
Santa Clara, California, United States
$193k-$258k/yr HybridFull Time
5+ YOELead design and deployment of AI agents; develop LLMs, GenAI, NLP; expert in Python, ML frameworks; cloud and container tech; 5-7+ years in AI; advanced degree preferred.
Python, TensorFlow, PyTorch, AWS, Docker, Kubernetes, TensorRT-LLM, vLLM
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(General Hire)Tech Lead, Machine Learning Engineer, TikTok Recommendation
San Jose, California, United States
$245k-$450k/yr OnsiteFull Time
5+ YOEBachelor in CS or related,5+ years experience, strong software development with C++ or Python, experience in applied ML/ML infrastructure/large-scale recommendation systems, strong communication.
C++, Python
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Tech Lead, Machine Learning Engineer - TikTok-Data-Search-NLP
San Jose, California, United States
$245k-$450k/yr OnsiteFull Time
Bachelor's degree in computer science or related field, strong coding and algorithms skills, effective communicator, experience in NLP/ranking/recommender/distributed systems preferred.
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Tech Lead, YouTube Shorts Discovery, ML Recommendations
Mountain View, California, United States
$207k-$300k/yr OnsiteFull Time
8+ YOEBachelor's or equivalent, 8+ years software development, 5+ years ML or related field experience, 5+ years testing/launching products, proficiency in large-scale ML systems and algorithms.
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Lead SDE C/C++ Hardware/Software Co-Design, Machine Learning Acceleration Systems
Cupertino, California, United States
$193k-$262k/yr OnsiteFull Time
7+ YOE5+ Mgmt7+ years programming and SDLC experience, 5+ years leading design/architecture, embedded C/C++ development, firmware/bare-metal experience preferred, mentor/tech-lead experience; bachelor's degree preferred.
C/C++, Hardware-In-The-Loop
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Sr. MLE, Prime Video ML Platform
Sunnyvale or Seattle or New York
$168k-$262k/yr OnsiteFull Time
5+ YOE5+ Mgmt5+ years software development and systems design experience, ML/LLM fundamentals, expertise in model lifecycle, mentorship/tech lead experience, and familiarity with ML frameworks listed.
JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, TensorRT
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Staff Applied AI/ML Scientist - Brand Growth & Marketplace Quality
San Francisco, California, United States
$247k-$339k/yr HybridFull Time
5+ YOE5+ years applying machine learning to real-world problems, strong programming and communication skills, relevant marketplace or growth experience, and tech-lead experience mentoring scientists or ML engineers.
machine learning, causal inference, deep learning, LLMs