# Director, Enterprise Machine Learning & Research

**Company**: Scale
**Location**: San Francisco, CA; New York, NY
**Work arrangement**: onsite
**Experience**: executive
**Job type**: full-time
**Salary**: $289,800-$362,250 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/scaleai/jobs/4679727005?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_0f6f3674-ac6

## Description

The Enterprise ML team at Scale works on the front lines of the AI revolution, partnering deeply with customers to identify high-impact business problems and build cutting-edge AI systems using Scale's proprietary research, data, and infrastructure.

As Director of Enterprise ML, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You’ll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery.

This role is ideal for a leader who thrives in ambiguity, understands both frontier GenAI capabilities and their limitations, and is motivated by turning research into durable, production-ready systems.

Key responsibilities include:

- Leading, mentoring, and growing a team of research scientists and engineers working on GenAI research initiatives

- Defining and driving a multi-year research roadmap, identifying key scientific questions, setting milestones, allocating resources, and ensuring rigorous execution

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

- Communicating compellingly, publishing research, presenting at conferences, engaging in open-source contributions, and representing the team externally

- Driving an inclusive, high-performing culture, helping your team through technical challenges, providing growth opportunities, and attracting top talent

Core qualifications include:

- 8+ years of hands-on research experience 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

- Experience leading or managing research teams

- Excellent written and verbal communication skills

Nice-to-have qualifications include:

- Hands-on experience building and deploying agent-based, tool-augmented, or workflow-driven LLM systems in enterprise environments

- Prior ownership of enterprise AI platforms, internal ML products, or customer-facing AI services at scale

- Proven track record of partnering directly with enterprises to identify high-impact use cases and deliver measurable business outcomes

Compensation packages at Scale include base salary, equity, and benefits, with a salary range of $289,800-$362,250 USD for this full-time position in San Francisco, New York, and Seattle.

## Skills

### Required
- machine learning
- deep learning
- generative models
- agent/RL systems
- research leadership
- team management
- communication
- public speaking
- writing
- open-source contributions

### Nice to have
- hands-on experience building and deploying agent-based, tool-augmented, or workflow-driven LLM systems in enterprise environments
- prior ownership of enterprise AI platforms, internal ML products, or customer-facing AI services at scale
- proven track record of partnering directly with enterprises to identify high-impact use cases and deliver measurable business outcomes

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/scaleai/jobs/4679727005?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)