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
PromotedHiringCafe
Founding Backend / Infra Engineer
Cupertino, CA, US
$160k-$300k/yr On-SiteFull Time
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.
Node.js, Python, Elasticsearch, Redis
3mo
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URBN Staff Engineer, GenAI
Philadelphia, Pennsylvania, United States
OnsiteFull Time
1+ YOE1+ year hands-on experience with image generation systems; strong Python and ML framework skills; experience designing scalable APIs and cloud infrastructure; Bachelor's or Master's in CS/Engineering/Math or related field; excellent communicaton and collaboration.
Python, PyTorch, Hugging Face, LangGraph, ADK, A2A, CrewAI, MCP, FastAPI, GraphQL, Docker, Terraform, Airflow, dbt
1w
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Senior Lead Software Engineer-AI Foundation Services
Plano or Jersey City or Wilmington or McLean
$171k-$260k/yr OnsiteFull Time
5+ YOE5+ years software engineering experience building cloud-native AI/ML platform services with Kubernetes, CI/CD, and infrastructure-as-code; proficiency in Python/Java/Go; strong production reliability and secure-by-design practices.
Kubernetes, CI/CD, infrastructure-as-code, Python, Java, Go, GPU
4w
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Technical Lead Manager, MLOps
New York City or United States or Philadelphia or Boston
$199k-$241k/yr HybridFull Time
6+ YOEBachelor's degree plus 6+ years (or Master's plus 4+ years) in ML engineering; experience building ML platforms, training/serving infrastructure, feature stores, orchestration, monitoring, deployment pipelines; experience managing ML Platform/ML Ops teams; hands-on with Ray, Flink, Feast; cloud data tooling (AWS, Redshift, Databricks, Snowflake); s...
Ray, Flink, Feast, AWS, Redshift, Databricks, Snowflake, Python