Senior Applied AI Research Engineer – Finance Time-Series

Goldman Sachs; New York (NY); On-site; USD 115,000 - 180,000; Full time

Job summary

Goldman Sachs is seeking a Senior Applied AI Research Engineer to push the frontier of deep learning, time-series modeling, and quantitative finance. You will own end-to-end research—from framing questions to data curation, model design, and large-scale training—collaborating with traders and engineers to ensure real-world impact.

The role emphasizes rigorous evaluation, reproducible research, and communication of complex results to senior stakeholders.

Qualifications

• PhD in a quantitative discipline with strong research background.
• 5+ years of professional ML research or related field.

Responsibilities

• Frame and answer important research questions in deep learning and finance.
• Design and run large-scale training experiments and evaluations.

Skills

PhD in quantitative field

Five+ years ML research

Deep learning

Time-series forecasting

Quantitative finance

Education

PhD in CS/ML/Stats/Math/Physics/EE

Job description

Goldman Sachs is seeking a Senior Applied AI Research Engineer to push the frontier of deep learning, time-series modeling, and quantitative finance. You will own end-to-end research—from framing questions to data curation, model design, and large-scale training—collaborating with traders and engineers to ensure real-world impact.

The role emphasizes rigorous evaluation, reproducible research, and communication of complex results to senior stakeholders.