Applied Research - Artificial Intelligence - Associate

Jobright.ai; New York (NY); On-site; USD 120,000 - 250,000; Full time

Job summary

A leading financial services firm is looking for an Applied AI Researcher to enhance their machine learning capabilities. This entry-level position involves significant collaboration on advanced AI systems, requiring strong software development skills and a relevant master’s or Ph.D. degree. Ideal candidates should have a solid foundation in AI/ML and programming languages such as Python or C++. Competitive salary and a dynamic work environment are offered in New York City.

Qualifications

• Minimum 1-3 years AI/ML industry experience required.
• Extensive software development for quantitative investment workflows in finance.
• Proficiency in modern programming languages, particularly Python.

Responsibilities

• Collaborate with colleagues on production machine-learning systems.
• Conceptualize and test AI/ML-based systems.
• Develop and maintain production-ready code.

Skills

Software development

AI/ML experience

Python

C++

Java

Education

Master's or Ph.D. in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance

Job description

Applied Research - Artificial Intelligence - Associate

Applied Research - Artificial Intelligence - Associate

8 hours ago Be among the first 25 applicants

Goldman Sachs is a multinational financial services firm providing securities, investment banking, and management services. They are seeking an Applied AI Researcher to drive the adoption of cutting-edge AI and Machine Learning technologies, contributing to various AI/ML domains and addressing challenges in machine learning systems within the financial domain.

Responsibilities

• Collaborating effectively with colleagues to advance production machine-learning systems and applications.
• Conceptualizing, experimenting with, and assessing AI/ML-based software systems.
• Developing, testing, and maintaining high-quality, production-ready code.
• Demonstrating technical leadership by taking charge of cross-team projects.
• Creating libraries and frameworks that underpin reliable and testable systems.
• Represent Goldman Sachs at conferences and within open-source communities.

Qualification

Required

• A Master's or Ph.D. degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or equivalent relevant industry experience.
• A minimum of 1-3 years of AI/ML experience in the industry that demonstrates your expertise.
• Extensive experience in software development for quantitative investment workflows in equities, fixed income, or multi-asset strategies.
• Proficiency in contemporary programming languages like Python, C++, or Java.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Software Development

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