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
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
5d
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Artificial Intelligence Engineer III
Madison or Kingwood
HybridFull Time
5+ YOEBachelor's or equivalent experience, 5+ years in software/ML/AI engineering, advanced Python and API skills, experience with large-scale data platforms and LLM systems, familiarity with AI orchestration frameworks, strong communication.
Python, APIs, Snowflake, Databricks, Amazon Redshift, Microsoft Synapse, LangChain, LangGraph, LlamaIndex, Semantic Kernel
1w
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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