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
3mo
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Machine Learning Engineer I
Brookfield, Wisconsin, United States
OnsiteFull Time
0+ YOEBachelor’s in CS/CE/EE; ML/Data Science coursework; practical ML algorithms; ML/AI methods; Python; libraries; one deep learning framework; strong math; willing to travel up to 10%; authorized to work in the U.S.
Python, NumPy, pandas, scikit-learn, Matplotlib, PyTorch, TensorFlow
19h
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Predoctoral Appointee – Machine Learning for Viral Glycosylation Prediction
Lemont, Illinois, United States
$58k-$97k/yr OnsiteFull Time
Master's degree completed, experience developing ML/DL models, proficiency in Python and scientific programming, experience with biological sequence/structural data, familiarity with ML frameworks and software engineering best practices.
Python, PyTorch, PyTorch Geometric, DGL, JAX, TensorFlow, Git
3mo
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Hardware Machine Learning PhD Research Internship
Chicago, Illinois, United States
$225k/yr OnsiteInternship
0+ YOEPhD student in Electrical Engineering, Computer Science, Physics, or related field; hardware constraints and ML-to-hardware mapping experience; Python proficiency; strong communication.
VHDL, SystemVerilog, HLS tools, ML-to-hardware frameworks, hls4ml, FINN, Vitis AI, PyTorch, TensorFlow, Python
1mo
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Junior Quantitative Analyst
Austin or Chicago or New York or Old Greenwich or San Francisco or West Palm Beach
$150k/yr OnsiteFull Time
Undergraduate or advanced degree in a quantitative field; programming in Python and/or C++; Linux experience; strong problem-solving and quantitative skills; interest in financial data, machine learning, and data engineering.
Python, C++, Linux