6 deep learning engineer jobs at 5 companies in Brewster, NY
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Staff Deep Learning Engineer
New York City, New York, United States
$220k-$260k/yrRemoteFull Time
NBCUniversalNASDAQ: CMCSA: Produces and distributes entertainment content and theme park experiences.
5+ YOEMaster's degree and 5+ years of relevant experience. Requires Python, Git, Unix shell, deep learning, machine learning, mathematical foundations, and experience with large 2D or 3D media datasets.
EXLNASDAQ: EXLS: Provides data analytics and digital operations solutions to businesses.
8+ YOE8+ years in software engineering/ML/AI with onshore consulting experience; expertise in NLP, Python, deep learning, cloud platforms, vector databases, observability, and LLMOps.
GartnerNYSE: IT: Provides research and advisory services for business leaders.
6+ YOE6+ years in ML engineering and product development, 2+ years deploying LLMs, experience designing agents, proficiency in Python and deep learning frameworks, strong communication and leadership skills.
Macy'sNYSE: M: Operates department stores selling apparel, home goods, and luxury items.
Master's degree required (PhD preferred), strong expertise in SQL and Python, experience with feature engineering, deep learning, big data and cloud platforms, leadership and stakeholder communication skills.
SQL, Python, Tableau, Microsoft Power BI, Looker, Adobe Analytics, Google Analytics, Redshift, Big Query, GCP, Azure, AWS
Mount Sinai Health System: Provides comprehensive hospital, clinical, and medical research services.
PhD in CS/EE/Biomedical Engineering or related field; strong background in deep learning and medical image analysis; strong first-author publication record; experience with multiparametric MRI, clinical NLP, or LLM infrastructure is a plus.
Mount Sinai Health System: Integrated academic medical system providing patient care and research.
PhD in CS/EE/Biomedical Engineering or related; strong deep learning and medical image analysis experience, publication record, experience with multiparametric MRI and clinical NLP preferred; familiarity with LLMs and agentic AI frameworks a plus.