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© All Rights Reserved. ApplyBlast.com
Goldman Sachs
The Associate Applied AI - Deep Learning/Time Series role at Goldman Sachs involves designing, training, and evaluating deep learning models for financial time series data. This individual contributor position requires expertise in modern deep learning architectures, time series specialization, and large-scale model training. The role focuses on advancing sequence modeling and probabilistic forecasting for financial data, delivering research as a firmwide platform for quantitative researchers and engineering teams.
Headquarters
New York, New York, United States
Company Size
10001+ employees
Founded
1869
Goldman Sachs is a leading global investment banking, securities, and asset and wealth management firm that provides advisory and capital-raising services, sales and trading, investment management, and consumer banking (including Marcus). It serves corporations, financial institutions, governments and high‑net‑worth clients with M&A and strategic advice, underwriting, market‑making, lending and risk‑management solutions. With a long history and worldwide footprint, Goldman Sachs is known for deep capital‑markets expertise, proprietary research, and integrated financial platforms.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Goldman Sachs.
35% above the average for this role
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