Machine Learning Researcher jobs in United States
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Morgan Stanley · 1 day ago

Machine Learning Researcher

Morgan Stanley's Machine Learning Research Department is dedicated to solving mission-critical problems across various business units and technology teams. They are seeking a candidate who can tackle research problems with commercial applications, leveraging their academic expertise in real-world financial issues.

Asset ManagementFinanceFinancial ServicesLending
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H1B Sponsor Likelynote

Responsibilities

Development experience in Python or R (C, C++, Java, etc is a plus)
Deep understanding of statistical learning methods
Strong communications and organizational skills
4+ years of applicable research experience

Qualification

PythonStatistical learning methodsRResearch experienceCommunication skillsOrganizational skills

Required

Development experience in Python or R (C, C++, Java, etc is a plus)
Deep understanding of statistical learning methods
Strong communications and organizational skills
4+ years of applicable research experience
Bachelor's degree required, Ph.D. desired

Preferred

Track record of exceptionally creative, hands-on, high-impact machine learning research and applications, evidenced by publications in competitive venues
Broad experience across multiple fields

Benefits

Some of the most attractive and comprehensive employee benefits and perks in the industry

Company

Morgan Stanley

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Morgan Stanley is a financial services company that offers securities, asset management, and credit services.

H1B Sponsorship

Morgan Stanley has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (222)
2024 (195)
2023 (173)
2022 (153)
2021 (165)
2020 (173)

Funding

Current Stage
Public Company
Total Funding
unknown
1997-02-05IPO

Leadership Team

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James Gorman
Chairman and CEO
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Ted Pick
Chief Executive Officer (CEO)
Company data provided by crunchbase