11 senior machine learning engineer jobs at 9 companies in Patchogue, NY
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Senior Machine Learning Engineer
Boston or Brooklyn
$170k-$205k/yrHybridFull Time
VideaHealth: AI-powered diagnostic software for dental imaging and practice management.
4+ YOE4+ years building and deploying production ML systems, deep expertise in an ML engineering area, strong Python development with testing and CI/CD, familiarity with clinical/EHR data, monitoring and model reliability, and strong communication.
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.
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.
EtsyNASDAQ: ETSY: Connects buyers and sellers of unique and creative goods.
10+ YOE10+ years in ML and AI; expertise in large-scale model training and serving, productionizing models, data and ML frameworks, ambiguous technical problems, cross-functional delivery, and engineering mentorship.
Connecticut or Nebraska or Indiana or Arizona or Michigan or Missouri or Massachusetts or Illinois or Maine or California or Florida or Minnesota or Colorado or Iowa or Kansas or Mississippi or Georgia or Alabama or Kentucky or Idaho or Maryland or Norwalk
$177k-$217k/yrRemoteFull Time
FactSetNYSE: FDS: Provides integrated financial data and analytical software solutions.
6+ YOEMaster’s degree in a technical field, 6 years of related experience, and 3 years using Python, Node.js, MongoDB, RabbitMQ, Redis or Memcached, Git, Elasticsearch, scikit-learn, NumPy, spaCy, NLP, and machine learning methods.
Estée Lauder CompaniesNYSE: EL: Manufacturer and marketer of prestige beauty and skincare products.
5+ YOEBS/BA or equivalent experience, 5+ years across software engineering/ML/data science (3+ with grad degree). Strong Python, production-grade service design, LLM/agentic systems, Google Cloud, SQL/NoSQL, and mentorship experience.
Python, Google Cloud, Vertex AI, Cloud Run, BigQuery, Firestore, Pub/Sub, FastAPI, Model Context Protocol (MCP), SQL, NoSQL
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.
EnergyHubNASDAQ: ALRM: Software platform managing distributed energy resources for utility grids.
5+ YOE5+ years in machine learning, statistical analysis, control systems, or optimization; 3+ years Python with Pandas, Numpy, SciPy, scikit-learn, PyTorch, TensorFlow; experience with large datasets, data pipelines, and communicating results to stakeholders.
Python, Pandas, Numpy, SciPy, Sklearn, PyTorch, Tensorflow, AWS, GCP, Azure, Snowflake, Databricks, Large Language Models
EtsyNASDAQ: ETSY: Connects buyers and sellers of unique and creative goods.
5+ YOE5+ years product management experience, background in ML retrieval/ranking or recommendations, ability to partner with engineers/scientists, strong cross-functional communication and experimentation experience.
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.
New York University: A private research university providing higher education degree programs.
PhD in CS/engineering/applied math/operations research or related; strong background in machine learning, geospatial data, and infrastructure/network modeling; demonstrated publication record; eligible to work in the U.S.