Senior Applied AI Researcher - Deep Learning for Markets

Goldman Sachs; New York (NY); On-site; USD 115,000 - 300,000; Full time

Job summary

Goldman Sachs in New York, NY seeks a Senior Applied AI Research Engineer to push the frontier of deep learning, time-series modeling, and quantitative finance. You will lead original research from question framing to data curation and model deployment.

Collaborate with traders and engineers to ensure research addresses real market problems and yields economically meaningful insights, while mentoring junior researchers and upholding responsible-AI standards.

Qualifications

• Ph.D. in Computer Science, ML, Statistics, or a related quantitative discipline.
• 5+ years of professional experience in machine learning, quantitative research, or data science.

Responsibilities

• Conduct original research at the frontier of deep learning, time-series modeling, and quantitative finance.
• Frame research questions, curate data, design models, run training experiments, and evaluate results.
• Partner with traders and engineers to ground research in real market problems and enable quantitative applications.
• Mentor junior researchers and engineers; review research design and code; communicate findings clearly.
• Ensure governance and responsible AI with clear documentation of methodology, data provenance, and limitations.

Skills

Deep learning

Time-series

Quant finance

Research leadership

Education

PhD in CS/ML

Job description

Goldman Sachs in New York, NY seeks a Senior Applied AI Research Engineer to push the frontier of deep learning, time-series modeling, and quantitative finance. You will lead original research from question framing to data curation and model deployment.

Collaborate with traders and engineers to ensure research addresses real market problems and yields economically meaningful insights, while mentoring junior researchers and upholding responsible-AI standards.