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4 machine learning engineer jobs found in New York

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Information Technology New York machine learning engineer
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Full time  (4)
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S&P Global  (3) JP Morgan Chase  (1)
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New York  (4)
SP
Full time
 
Big Data Engineer Lead
S&P Global New York, NY
About the Role: Grade Level (for internal use): 12 The Team: You will be an expert contributor and part of the Rating Organization's Data Services Team. This team, who has a broad and expert knowledge on Ratings organization's critical data domains, technology stacks and architectural patterns, fosters knowledge sharing and collaboration that results in a unified strategy. All Data Services team members provide leadership, innovation, timely delivery, and the ability to articulate business value. Be a part of a unique opportunity to build and evolve S&P Ratings next gen analytics platform. Responsibilities and Impact: Design and develop efficient and scalable data pipelines between enterprise systems and analytics platform Work closely with Data Science team and participate in development of feature engineering pipelines Provide technical expertise in the areas of design and implementation of Ratings Integrated Data Facility with modern AWS cloud...

Apr 18, 2026
SP
Full time
 
Product Design Intern - Summer 2026
S&P Global New York, NY
Kensho is S&P Global’s hub for AI innovation and transformation. With expertise in machine learning, natural language processing, and data discovery, we develop and deploy novel solutions to innovate and drive progress at S&P Global and its customers worldwide. Kensho's solutions and research focus on business and financial generative AI applications, agents, data retrieval APIs, data extraction, and much more. At Kensho, we hire talented people and give them the autonomy and support needed to build amazing technology and products. We collaborate using our teammates' diverse perspectives to solve hard problems. Our communication with one another is open, honest, and efficient. We dedicate time and resources to explore new ideas, but always rooted in engineering best practices. As a result, we can innovate rapidly to produce technology that is scalable, robust, and useful. Applicants must be authorized to work in the U.S. without current or future visa sponsorship....

Apr 18, 2026
JP Morgan Chase
Full time
 
Software Engineer II - Fullstack - Python/React
JP Morgan Chase New York, NY
You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you. As a Software Engineer II at JPMorgan Chase within the Commercial & Investment Bank, Digital & Platform Services, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role. Job responsibilities: Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical...

Apr 22, 2026
SP
Full time
 
Senior Technical Product Manager, Data Engineering & Data Science Solutions
S&P Global New York, NY
About the Role: Grade Level (for internal use): 11 The Team We are a global but tight ‑ knit team driven by collaboration and enablement, focused on building scalable, enterprise ‑ grade platforms, services, and common capabilities that drive wins across our entire division. Our team values collaboration, end ‑ user empathy, hard work, and honesty—creating an environment where innovative solutions can flourish and make a meaningful impact at scale. Responsibilities and Impact Drive product strategy and roadmap for critical data infrastructure components, including data onboarding, storage solutions, and core platform engines Lead cross-functional teams to deliver data engineering capabilities, admin utilities, and data quality solutions that enable enterprise-scale analytics Own product vision for disaster recovery and resiliency frameworks to ensure platform reliability and business continuity Define and execute an ontology integration strategy...

Apr 18, 2026
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