PromotedHiringCafe
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
PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yr On-SiteFull Time
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Python, PyTorch, Elasticsearch, LLMs
2mo
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10850 – Sr. Software Engineer, Applied AI
Irvine, California, United States
$103k-$159k/yr OnsiteFull Time
8+ YOE8+ years software engineering; 3+ years AI/ML; production AI systems; multi-agent frameworks; full-stack and cloud; MCP experience.
AutoGen, LangGraph, LlamaIndex, CrewAI, n8n, Python, TensorFlow, PyTorch, HuggingFace, Pinecone, ChromaDB, FAISS, prompt engineering, RAG architecture, model evaluation, LLM optimization, AWS SageMaker, Bedrock, Azure OpenAI, Azure AI Foundry, React, Docker, Kubernetes, MCP
2mo
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Project Manager, Applied AI Engineering
Carlsbad, California, United States
$103k-$140k/yr HybridFull Time
5+ YOE5+ MgmtBachelor’s in CS/engineering; 5+ yrs project leadership; 3+ yrs AI/ML projects; PMP/CPM preferred; experience with AI/GenAI, MLOps; strong communication.
AI, GenAI, MLOps, SDLC, Agile
1w
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Staff Machine Learning Engineer, Technical Lead
Boston or Encinitas
$195k-$263k/yr OnsiteFull Time
8+ YOE8+ years in R&D/ML roles, technical degree in CS or applied math required, experience with ML lifecycle and MLOps (e.g., AWS SageMaker), strong communication and mentorship skills; US citizenship or green card required.
AWS SageMaker
2w
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Technical Product Owner - AI
Irvine, California, United States
$125k-$145k/yr HybridFull Time
5+ YOE5+ years in technical product management or applied AI/ML product roles, 0-to-1 experience, prompt engineering, strong SQL/Databricks skills, Salesforce experience, mortgage domain knowledge, and ability to define KPIs and run evaluations.
Databricks, Salesforce, Encompass, SQL Server, SOQL, REST API, Twilio, Five9, ElevenLabs, SQL