2 machine learning platform engineer jobs at 2 companies in Arizona

PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yr On-SiteFull Time
HiringCafe
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
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
HiringCafe
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
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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Senior / Staff Machine Learning Ops Engineer
San Francisco or Dallas or Phoenix or Pittsburgh or Toronto or United States
$157k-$234k/yr RemoteFull Time
Waabi
Waabi: Develops Physical AI for autonomous trucking and robotaxis.
3+ YOE3-5 years in MLOps/DevOps; Bachelor's in CS/Data Science; Python proficiency; ML frameworks (TensorFlow/PyTorch); cloud platforms (AWS/Azure/GC); Kubernetes/Docker; CI/CD; strong problem-solving; production model monitoring.
Python, TensorFlow, PyTorch, AWS, Azure, Google Cloud, Kubernetes, Docker, Git, CI/CD
1mo
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Machine Learning Engineer / Data Scientist
Arizona or California or Colorado or Florida or Georgia or Illinois or Indiana or Massachusetts or Michigan or Minnesota or Missouri or New Jersey or New York or North Carolina or Ohio or Pennsylvania or Texas or Wisconsin
$101k-$168k/yr RemoteFull Time
SullivanCotter
SullivanCotter: Consulting and data for healthcare and nonprofit compensation strategies.
3+ YOEBachelor's or Master's in CS/Data Science/Statistics/Math (or related experience). 3+ years relevant experience (Master's) or 5+ years (Bachelor's). Proficient in Python, ML/LLM architectures, RAG pipelines, ML libraries, cloud platforms, MLflow and Git.
Python, Scikit-learn, PyTorch, NumPy, Pandas, LangChain, LlamaIndex, MLflow, Git, AWS, GCP, Azure, Docker, Databricks