# Manager, Research Scientist

**Company**: Scale AI
**Location**: San Francisco, CA
**Experience**: senior
**Job type**: full-time
**Salary**: $290,400-$363,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q112629176

**Apply**: https://job-boards.greenhouse.io/scaleai/jobs/4718431005?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_6510ae33-8cb

## Description

Scale AI accelerates the development of AI systems by providing the data, infrastructure, and tooling that power the most advanced models in the world.

As a Research Scientist Manager, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment.

## Responsibilities

- Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments).

- Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution.

- Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes.

- Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally.

- Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent.

- Stay deeply connected to the research community, understanding major trends, and helping set them.

- Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results.

## Requirements

- 5+ years of hands-on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains.

- A strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.).

- Experience and track of recording in landing major research impacts in a fast-paced environment.

- Experience leading or managing research teams. You’re excited to mentor, coach and develop talent.

- Excellent written and verbal communication skills. You are able to articulate research ideas and outcomes to both technical and non-technical stakeholders.

## Benefits

- Comprehensive health, dental and vision coverage

- Retirement benefits

- Learning and development stipend

- Generous PTO

- Commuter stipend (may be eligible)

## Skills

### Required
- machine learning
- deep learning
- generative models
- agent/rl systems

### Nice to have
- PhD in machine learning or related domain
- publications in top-tier ML/AI venues

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/scaleai/jobs/4718431005?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)