Director Enterprise Machine Learning & Research

The Enterprise ML team 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—unlocking domain expertise through high-quality data and expert feedback.

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.

What You’ll Do

• 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.

What We’re Looking For

Core Qualifications

• 8+ 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.
• Exceptional communication and stakeholder management skills with the ability to influence executives customers and cross-functional partners

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

What We Do

Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR image video and NLP annotation APIs allow machine learning teams at companies like OpenAI Lyft Pinterest and Airbnb focus on building differentiated models vs. labeling data.