Machine Learning Researcher

Morgan Stanley

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Quick summary

Work type
On-site
Location
New York, NY
Salary
$154,000–$213,000 / yr
Employment
Full-time
Posted
19 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $229k
This role $184k
$139k $292k
below market most similar roles pay here above market

This role pays less than 85% of similar roles. Most pay $202,800–$254,750 — the blue band above. At the midpoint, this role pays about $184k versus about $229k for comparable roles.

Based on 240 similar postings.

Employer

About Morgan Stanley

Morgan Stanley is a global financial services firm providing investment banking, securities, wealth management, and investment management services to corporations, governments, institutions, and individuals. Industry: Investment Banking & Financial Services

Morgan Stanley currently has 40 open roles on FindRole.

Listed pay typically runs $154,000–$214,000 across 34 roles with salary data.

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At a glance

TL;DR · Machine Learning Researcher

The Machine Learning Researcher joins the Machine Learning Research Department to solve mission-critical problems across various business units and technology teams. This role involves independently tackling research problems with commercial applications by applying technical expertise and research acumen to real-world financial and operating problems. The successful candidate will perform hands-on machine learning research and develop applications, leveraging a deep understanding of statistical learning methods. Required technical skills include development experience in Python or R, with C, C++, and Java considered pluses. The position requires a track record of high-impact research evidenced by publications in competitive venues. The work focuses on creating innovative connections and capabilities within the financial services sector to help clients and colleagues redefine markets and solve complex operational challenges.

What you'll do

  • Solve mission-critical problems across various business units and technology teams.
  • Independently tackle research problems that have direct commercial applications.
  • Apply technical expertise and research acumen to real-world financial and operating problems.
  • Conduct high-impact machine learning research and develop practical applications.
  • Utilize deep knowledge of statistical learning methods to drive innovation.
  • Develop and implement machine learning solutions using Python or R.
  • Translate complex research findings into actionable insights for the firm.

What we're looking for

  • Bachelor's degree required.
  • 4+ years of applicable research experience.
  • Track record of high-impact machine learning research and applications evidenced by publications in competitive venues.
  • Development experience in Python or R.
  • Deep understanding of statistical learning methods.
  • Strong communications and organizational skills.
  • Experience in C, C++, or Java (preferred).
  • Broad experience across multiple fields (preferred).

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