VP, Applied AI Research: Deep Learning & Finance

SRI Conference; New York (NY); On-site; USD 180,000 - 320,000; Full time

Job summary

Goldman Sachs is seeking a Senior Applied AI Research Engineer in New York to push the frontier of deep learning, time-series modeling, and quantitative finance. You will own research end-to-end—from framing questions and data curation to model design, large-scale training, evaluation, and close collaboration with traders and engineers to ensure industry-ready results.

Lead and mentor junior researchers, contribute reusable research artifacts, and uphold governance for responsible AI with

Qualifications

• PhD in a quantitative field as listed.
• 5+ years of professional ML/quantitative research experience.
• Strong background in deep learning, time-series forecasting, or market microstructure.

Responsibilities

• Formulate and execute rigorous research using large, high-dimensional datasets.
• Communicate complex findings clearly to stakeholders.
• Collaborate with traders and engineers to ground research in market problems and economics.

Skills

Deep learning

Time-series forecasting

Quantitative research

Communication

Independent research

Education

Ph.D. in Computer Science/ML/Statistics/Math/Physics/EE

Tools

Transformers

Job description

Goldman Sachs is seeking a Senior Applied AI Research Engineer in New York to push the frontier of deep learning, time-series modeling, and quantitative finance. You will own research end-to-end—from framing questions and data curation to model design, large-scale training, evaluation, and close collaboration with traders and engineers to ensure industry-ready results.

Lead and mentor junior researchers, contribute reusable research artifacts, and uphold governance for responsible AI with