# Senior Member of Research Staff

**Company:** [The Voleon Group](https://hotfix.jobs/companies/voleon)
**Location:** Berkeley, CA
**Role:** ML Engineering
**Salary:** $275k – $300k/yr
**Experience:** 5+ years
**Skills:** Machine Learning, Statistical Methods, Python, R, Data Analysis, Predictive Modeling, Large-Scale Computing, Experiment Design, Software Development
**Posted:** 2026-04-17

> Leads key research projects in statistical machine learning for financial market prediction and portfolio optimization, from basic research to production deployment. Requires 5+ years experience, PhD-level expertise, strong ML/math skills, and Python/R proficiency.

## Job Description

## Responsibilities
- Demonstrate strategic vision and perspective to oversee work that affects one or more complex systems and mission-critical areas
- Complete large scope, highly complex projects resulting in noteworthy improvements to product performance and risk management
- Develop a rich understanding of Voleon's domain and methodologies
- Prepare and analyze new datasets to assess their predictive efficacy
- Develop, validate, and implement new models into production
- Design and conduct experiments to improve simulations and evaluate the success of new models in a live environment
- Build collaborative relationships cross-functionally and with key contacts outside own area of expertise, with the potential to serve as an external spokesperson for the organization
- Communicate and collaborate effectively with key stakeholders at each stage, facilitating meaningful discussions around complex issues and driving progress towards tangible outcomes
- Mentor other researchers and provide technical guidance, coaching, and feedback
- Keep up to date on the latest academic research to identify novel approaches to explore for application to our domain
- Contribute to Voleon's efforts to recruit exceptional talent

## Requirements
- 5-10+ years of related experience directing key research projects and mentoring colleagues
- Capability to run multiple projects simultaneously, exercising judgment in the methods, techniques, and evaluation criteria for determining results
- Ability to make well-reasoned design decisions, identifying and proactively potential issues, tradeoffs, risks, and the appropriate level of abstraction
- Proven success solving large-scale computing problems
- Expertise in modern statistical methods and machine learning with a track record as an applied researcher
- Evidence of strong mathematical abilities
- Strong skills in software development techniques and production level coding (**Python** and/or **R** preferred)
- Effective at communicating complex technical issues simply and transparently, including writing insightful documentation
- Ability to influence without requiring formal authority, with a proven track record of influence beyond your team
- Interest in financial applications is essential, but prior finance industry experience is not a prerequisite
- Ph.D. level coursework is required, and a Ph.D. degree in a relevant field is preferred

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