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Vice President of Generative AI Engineering

2 months ago


New York, New York, United States The Goldman Sachs Group, Inc Full time
Job Overview

Company Mission:

At Goldman Sachs, we empower our engineers to not only create but to innovate and transform the financial landscape. Our goal is to bridge the gap between people, capital, and groundbreaking ideas. We tackle complex engineering challenges for our clients, building robust software and systems that drive efficiency and security. Our engineering teams are at the forefront of developing scalable solutions, architecting low-latency infrastructures, and utilizing machine learning to convert data into actionable insights.

Ideal Candidate Profile:

Goldman Sachs is on the lookout for a Generative AI Engineer who will be a key player in our Natural Language Processing Solutions team. This role is crucial for advancing the integration of innovative Generative AI technologies within our operations, working closely with various business units.

As a vital member of our team, you will engage in diverse AI/ML domains, including but not limited to machine learning, deep learning, natural language processing, information retrieval, time series analysis, and recommendation systems. Your expertise as an AI Researcher will be instrumental in addressing the unique challenges presented by machine learning systems in the financial sector. Together, we will redefine the possibilities at the intersection of quantitative research and artificial intelligence.

Key Responsibilities:
  • Collaborate effectively with peers to enhance production-level machine learning systems and applications.
  • Design, experiment with, and evaluate AI/ML-driven software systems.
  • Develop, test, and maintain high-quality, production-ready code.
  • Exhibit technical leadership by spearheading cross-functional projects.
  • Create libraries and frameworks that support reliable and testable systems, representing Goldman Sachs at conferences and within open-source communities.
Qualifications:
  • A Master's or Ph.D. in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or equivalent relevant industry experience.
  • A minimum of 4 years of industry experience demonstrating your expertise.
  • Extensive background in software development for quantitative investment workflows across various asset classes.
  • Proficiency in modern programming languages such as Python, C++, or Java.
About Goldman Sachs:

Goldman Sachs is dedicated to investing our people, capital, and ideas to support our clients, shareholders, and the communities we serve. Established in 1869, we are a premier global investment banking, securities, and investment management firm with a worldwide presence.

We believe that diversity and inclusion enhance our workplace and are committed to providing every individual with opportunities for professional and personal growth. Our training and development programs, along with our comprehensive benefits and wellness offerings, reflect this commitment.

Goldman Sachs is an equal employment/affirmative action employer, and we welcome applicants from all backgrounds.