Top Machine Learning Jobs in NYC
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Seeking a Lead Principal Machine Learning Software Engineer to join the Central AI team. Responsible for developing and deploying advanced machine learning algorithms and integrating AI functionalities into Atlassian products and services. Requires expertise in Python or Java, experience building and scaling machine learning models, and ability to communicate data science concepts.
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.
Featured Jobs
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.
As a Data Engineer, you will own the next iterations of the Arlo underwriting API from modeling to deployment. You will partner closely with our head actuary to refine our model and ideate novel underwriting strategies.
As a Machine Learning Engineer at Dropbox, you will design, build, evaluate, deploy and iterate on large scale ML systems, work with cross-functional teams to personalize users' experiences, and contribute to revolutionizing collaboration tools. Requires 2+ years of ML or AI system building experience and strong analytical skills.
Seeking a senior machine learning and AI leader to lead Cash App's Personalization ML organization. Responsibilities include managing a team of machine learning modelers, scientists, and engineers, partnering with product leaders, and shaping the company's ML and AI strategy.
Research, design, and build high-impact end-to-end machine learning systems for customer growth. Partner with cross-functional teammates to understand their problems and design solutions. Lead the design of scalable ML solutions in production. Promote and role-model best practices of data science, engineering, and communication throughout the organization. Evangelize ML adoption and innovation across teams. Foster a diverse community of data scientists and ML engineers.
The VP of Machine Learning Engineering at Rokt will lead the research, experimentation, and implementation of new ML models critical for the company. They will shape and lead exceptional teams, develop and deploy ML models for various applications, collaborate with cross-functional teams, provide technical leadership, and stay current with the latest ML research.
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