5 machine learning data engineer jobs at 4 companies in Danbury, CT
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Machine Learning Engineer
London or New York or Rowayton
$175k-$250k/yrOnsiteFull Time
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.
Machine Learning Engineer I - Large Language Models - AI & Human Health Research
New York, New York, United States
$109k-$164k/yrOnsiteFull Time
Mount Sinai Health System: Integrated academic medical system providing patient care and research.
Bachelor's in a quantitative field required; knowledge of Python/Scala/Java/C/C++, big data (Hadoop, Spark), SDLC, SQL; familiarity with ML algorithms, EMR data sources, and independent problem solving. Master's and 2+ years in data/software/ML preferred.
Machine Learning Engineer I - Large Language Models - AI & Human Health Research
New York, New York, United States
$109k-$164k/yrOnsiteFull Time
Mount Sinai Health System: Provides comprehensive hospital, clinical, and medical research services.
2+ YOEBachelor's in a quantitative field, programming in Scala/Python/Java/C/C++, knowledge of big data technologies (Hadoop, Spark), SDLC, ML algorithms, SQL, and ability to build/maintain ETL pipelines and production ML systems.
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.