Applied Research Associate

3 weeks ago

New York NY United States Goldman Sachs Full time
What We Do

At Goldman Sachs, our Engineers don't just make things - we make things possible
Change the world by connecting people and capital with ideas
Solve the most challenging and pressing engineering problems for our clients
Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action
Create new businesses, transform finance, and explore a world of opportunity at the speed of markets

Engineering, which is comprised of our Technology Division and global strategist groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions
Want to push the limit of digital possibilities? Start here

Who We Look For

Goldman Sachs is seeking an Applied AI Researcher to join our dynamic Applied Artificial Intelligence (AI) Research team
As an integral part of the team, you will play a pivotal role in driving the adoption of cutting-edge AI and Machine Learning (ML) technologies at the firm

In this role, you will have the opportunity to contribute to various AI/ML domains, including but not limited to machine learning, deep learning, natural language processing, information retrieval, time series analysis, and recommender systems
As an experienced AI Researcher, you will help address the unique challenges that arise in machine learning systems within the financial domain
Join us in redefining the boundaries of what's possible in the intersection of quantitative research and artificial intelligence

Your responsibilities will include:
  • 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.
Required Qualifications:
  • 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.
ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow
Founded in 1869, we are a leading global investment banking, securities and investment management firm
Headquartered in New York, we maintain offices around the world

We believe who you are makes you better at what you do
We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs
Learn more about our culture, benefits, and people at GS.com/careers

We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process
Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

Salary Range
The expected base salary for this New York, New York, United States-based position is $100000-$200000
In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end

Benefits
Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience
A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here

© The Goldman Sachs Group, Inc., 2023
All rights reserved
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

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