Top Machine Learning Jobs in NYC

As an Applied Machine Learning engineer at Atlassian, you will work on developing cutting-edge machine learning algorithms, training models, and integrating AI functionalities into products. Responsibilities include designing system architectures, conducting model evaluations, and applying AI/ML to enhance Atlassian products.

Senior Machine Learning Engineer at Dropbox working on large scale AI/ML systems, collaborating with cross-functional teams, and impacting millions of users.

Seeking a Machine Learning Infrastructure Engineer to deploy data-driven models into production for drug discovery and materials science. Responsibilities include optimizing development processes, building validation tools, and ensuring models run on customer machines. Preferred applicants have experience in containerized systems, CI/CD, Google Cloud Platform, GPU support, and large-scale computing.

Design, implement, and deploy AI/ML solutions for complex business problems at JPMorgan Corporate Investment Bank. Responsibilities include implementing AI/ML services, designing data pipelines, and analyzing model performance.

Seeking a Machine Learning Architect to enhance Machine Learning and Artificial Intelligence R&D strategy to personalize the Qualtrics experience. Responsibilities include designing AI architectures, selecting appropriate AI technologies, guiding machine learning direction, collaborating with cross-functional teams, and optimizing ML systems for performance and scalability.

Develop and implement cutting-edge generative AI models and algorithms specifically tailored for healthcare applications. Contribute to improving patient care, optimizing clinical workflows, and advancing medical research.

Seeking a Senior Machine Learning Engineer to lead a team in building, scaling, and launching AI and Data products. Responsibilities include strategic planning, developing ML/AI products, implementing innovative ML algorithms, and ensuring data privacy compliance. Must have a Master's or PhD in relevant field, 5+ years of ML model deployment experience, and 3+ years of people management experience.