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ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yr On-SiteFull Time
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
1mo
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Senior Machine Learning Engineer, Ad Serving
New York or San Jose
$195k-$408k/yr HybridFull Time
10+ YOE10+ years applying machine learning and optimization to production systems; deep statistics/ML expertise; production ML lifecycle experience (feature engineering, model serving, monitoring); strong software skills in Python, SQL, Java/Scala; excellent communication.
Python, SQL, Java/Scala
1w
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Senior Machine Learning Engineer, Model Serving Infrastructure (Multiple Positions)
San Jose, California, United States
$265k-$388k/yr OnsiteFull Time
2+ YOEMaster's (plus 2 years) or Bachelor's (plus 5 years) in a quantitative field; 2+ years coding in Python or C++; Linux development experience; ML, system design, and production deployment experience.
Python, C++, Linux
3w
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Sr Machine Learning Services Engineer
San Jose, California, United States
$152k-$265k/yr OnsiteFull Time
5+ YOE5+ years building and operating ML systems with GPU workloads, designing large-scale cloud services, optimizing model inference, and collaborating with research and engineering teams; proficiency with Python, PyTorch/TensorFlow, model serving tools, containerization, orchestration, and AWS.
Python, PyTorch, TensorFlow, NVIDIA Triton, TorchServe, ONNX, AIT, AOT, CUDA, Docker, Kubernetes, AWS
2w
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DevOps, MLOps & Security Engineering Lead
San Jose, California, United States
$140k-$170k/yr HybridFull Time
Engineering leader with hands-on DevSecOps experience across AWS and GCP, CI/CD and IaC expertise, AI infrastructure (GPU/compute provisioning, model serving), cloud security, and scripting in Python/Bash/Go/Java.
AWS, GCP, SageMaker, Vertex AI, EKS, GKE, Python, Bash, Go, Java
3w
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Sr. Staff AI Engineer - On-Prem AI Infrastructure & Agentic Systems
San Jose, California, United States
$140k-$165k/yr OnsiteFull Time
2+ YOE2+ years in AI/ML engineering with on-prem/private-cloud deployment, experience building agentic AI and RAG pipelines, model fine-tuning (LoRA/QLoRA), Python/Linux/Docker/Kubernetes proficiency, and familiarity with vector DBs and AI serving frameworks.
vLLM, TGI, Triton, Milvus, Qdrant, FAISS, Kubernetes, Helm, Docker, LangGraph, AutoGen, LoRA, QLoRA, Model Control Protocols (MCP), Python, Linux, Pinecone, Ollama, ONNX, TensorRT, GGUF, BabyAGI, LangSmith, Weights & Biases, Prometheus, Grafana, CI/CD
2w
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Senior Software Engineer, Android Dialer, Calling Protection
San Jose, California, United States
$174k-$253k/yr OnsiteFull Time
5+ YOEBachelor's degree or equivalent experience, 5+ years Android development with Kotlin/Java, client-side performance optimization, EMR not applicable; experience with on-device model serving and privacy reviews preferred.
Kotlin, Java, Android, Gemini, Gemini Nano, AICore
2w
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Software Engineer III, Android Dialer, Calling Protection
San Jose, California, United States
$147k-$211k/yr OnsiteFull Time
2+ YOEBachelor's degree or equivalent experience; 2+ years Android and Kotlin development; B.S./higher preferred; experience with data structures/algorithms, on-device model serving or LLM orchestration, and privacy/PII practices.
Kotlin, Android, AICore, Gemini Nano
1mo
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Director of Product Management – AI Essentials
Spring or San Jose or Durham or Fort Collins or Andover
$170k-$413k/yr HybridFull Time
15+ YOE5+ MgmtBachelor's in CS/engineering required; 15+ years product experience with 5+ years leading product teams in AI/ML or data infrastructure. Experience with AI platforms, model serving, GPU ecosystems, GTM and monetization.
GenAI, GPU, MLOps, GreenLake, AI tools, AI/ML, SaaS, DevOps, agent frameworks
1mo
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Director of Product Management – AI Essentials
Spring or San Jose or Durham or Fort Collins or Andover
$170k-$413k/yr HybridFull Time
15+ YOE5+ MgmtBachelor's in CS/engineering required; 15+ years product management experience with 5+ years AI/ML product leadership; experience building AI/ML platforms, inference/model serving, GPU ecosystem, executive communication, and GTM strategy.
GreenLake, GenAI, GPU, agent frameworks, AI tools, MLOps, DevOps, SaaS