6 machine learning engineer jobs at 5 companies in Newburgh, NY
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Staff Machine Learning Engineer
Chicago or Seattle or Sunnyvale or New York City or San Francisco
$209k-$258k/yrHybridFull Time
UberNYSE: UBER: A technology platform for transportation, delivery, and freight.
6+ YOE6+ years developing ML models, Bachelor's in CS or related, familiarity with PyTorch, experience with marketplace ML, strong communication and critical thinking.
Chicago or New York City or San Francisco or Seattle or Sunnyvale
$182k-$202k/yrOnsiteFull Time
UberNYSE: UBER: A technology platform for transportation, delivery, and freight.
4+ YOE4+ years building ML models; BS in CS/CE or related; experience with PyTorch, causal inference or constrained optimization preferred; product and marketplace experience a plus.
Graham Capital Management: Manages alternative investment funds using quantitative and discretionary macro strategies.
3+ YOE3+ years in ML/statistics on large unstructured data; degree in CS/Engineering/Operations Research; strong Python/C++ and data-processing skills; able to communicate findings and deploy models in containerized environments; experience with time series and cross-team collaboration.
VersantNasdaq: VSNT: Operates cable television networks and digital media entertainment platforms.
5+ YOEBachelor's in CS or equivalent, 5+ years software engineering with ML/AI systems, production ML experience, proficiency in Python/TypeScript/Java, experience with LLMs and TensorFlow or PyTorch, leadership in AI initiatives.
Atlas Air: Global provider of outsourced aviation and logistics services.
5+ YOEMaster's or PhD in a quantitative field, 5+ years data science experience, expertise in Python/R, SQL, machine learning, optimization, and production-grade software engineering practices.
Austin or Chicago or New York or Old Greenwich or San Francisco or West Palm Beach
$150k/yrOnsiteFull Time
WorldQuant: Develops systematic investment strategies through quantitative research and data.
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.