Top Machine Learning Jobs in NYC
Lead the development of AI and Machine Learning solutions to enhance user experience and workflow efficiency of enterprise services at ServiceNow. Collaborate with a team to build intelligent software and drive innovation using advanced technologies. Play a key role in building and evolving the AI platform to create new work experiences.
Design, build, and enhance batch and real-time inference services and tooling to support ML use cases. Facilitate modelers on the team by providing necessary infrastructure/tools and developing prototypes for future needs. Join a growing team with a significant impact on team culture.
The Machine Learning Operations Engineer at Squarespace will collaborate with Data Scientists and Engineers to deploy, monitor, and optimize ML models, develop automated pipelines, and improve CI/CD practices. This hybrid role requires strong Python and SQL skills, experience with cloud platforms, and working knowledge of Google Cloud Platform and Vertex AI.
Featured Jobs
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.
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