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Member of Research Staff

Berkeley, CA💼 Full-time🗓 2026-04-17 → 2026-09-25

Core

Develop and apply statistical machine learning models for financial market prediction and portfolio optimization to govern investment strategy.

Role type

Senior IC applied machine learning researcher

Builds

Production ML models for live trading and portfolio optimization

Domain

Finance / Quantitative Investment / Machine Learning

Deliverable

production ML models

Required skills

statistical machine learning, mathematical modeling, large-scale computing, Python, R, experimental design, model validation

Preferred skills

software development, financial market knowledge, academic publication record

Technologies

Python, R

Responsibilities

Develop and optimize predictive models for investment strategy, analyze datasets to assess predictive efficacy, implement and validate new models in production, design experiments to evaluate model success in live environments, collaborate with software engineers and research staff, stay current on academic research

Seniority

Senior, hands-on IC

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