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
6d
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Senior Applied ML Engineer
Irving or Middleton or Denver or Seattle
$123k-$170k/yr HybridFull Time
5+ YOEBachelor's or Master's in CS/ML,5+ years designing and deploying applied ML at scale,experience in CV and NLP,proficiency with Python and ML frameworks,MLops and cloud deployment experience.
Python, PyTorch, TensorFlow, Hugging Face, MLflow, Kubeflow, AWS, Azure, GCP
2mo
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Senior Applied ML Engineer
Middleton or Irving or Denver or Seattle
$125k-$184k/yr HybridFull Time
5+ YOE5+ years designing and deploying applied ML systems; expertise in computer vision and NLP; strong Python and ML frameworks; ML Ops; cloud platforms; clear communicator; degree in CS/ML or related field.
Python, PyTorch, TensorFlow, Hugging Face, MLflow, Kubeflow, AWS, Azure, GCP
2mo
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Director of Applied AI & ML Engineering
Irving or Denver or Middleton or Seattle
HybridFull Time
12+ YOE5+ Mgmt12+ years in applied AI, ML, or software engineering; 5+ years in leadership; degree in CS/ML or related; proven production AI deployment; expertise in LLMs, CV, RAG; strong software & cloud skills.
MLflow, Kubeflow, SageMaker, APIs, Microservices, CI/CD, Containerization
6d
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Senior Software Engineer Applied AI
Madison or United States
RemoteFull Time
7+ YOE7+ years building and operating production backend systems, production LLM/ML experience, cloud distributed-systems expertise, and disciplined practices for regulated environments.
Python, AWS, LLMs