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
1mo
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Quantic – Quantitative Developer Intern (Summer 2027)
Boston, Massachusetts, United States
$20k/mo OnsiteInternship
Pursuing an undergraduate or advanced degree in CS, engineering, statistics, mathematics; strong coding skills; experience with ML packages; interest in quantitative trading.
Python, Bash, Perl, UNIX/Linux, scikit-learn, TensorFlow, PyTorch
1w
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Agentic AI Intern
Boston or Seattle or Ontario or San Francisco
RemoteInternship
Pursuing or recently completed BS/MS in CS/data science/engineering; proficiency in Python (pandas,numpy); foundational ML knowledge; strong communication and autonomy; passion for autonomous agents.
DataRobot platform, AutoML, GenAI, MLOps, Python, pandas, numpy, LangGraph, CrewAI, LlamaIndex, FastAPI, Flask, Docker, Slack, Confluence
1mo
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Quantic - Quantitative Researcher Intern (Summer 2027)
Boston, Massachusetts, United States
$20k/mo OnsiteMultiple Commitments Available
Pursuing undergrad or advanced degree in CS/engineering/stats/math; strong Python/R; large datasets/APIs; ML/time series; interest in quantitative trading; 10-week Boston internship.
Python, R, APIs, Databases, Machine Learning, Time-series
1mo
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Quantic - PhD Quantitative Researcher Intern (Summer 2027)
Boston, Massachusetts, United States
$20k/mo OnsiteInternship
PhD students in CS/Engineering/Statistics/OR/Math; strong Python or R; large datasets/APIs; ML/time-series; autonomous and collaborative.
Python, R, APIs, Databases, Machine Learning