✦ Luna Orbit — AI & Machine Learning

Director, Enterprise Research

at Scale AI

📍 San Francisco, CA; New York, NY Onsite Posted April 02, 2026
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Position Details

Type Full-Time
Experience lead
Exp. Years 8+ years
Education PhD or equivalent preferred
Category AI & Machine Learning

About this role

Director of Enterprise Research leads Scale AI's enterprise ML research, shaping the roadmap and coordinating a team of scientists and engineers to turn cutting-edge GenAI research into production-ready systems.

Key Responsibilities

  • Lead, mentor and grow a team of research scientists and engineers
  • Define and drive a multi-year research roadmap
  • Collaborate cross-functionally to translate research into components, insights, and actionable outcomes
  • Publish research and represent the team externally
  • Build an inclusive, high-performing culture

Technical Overview

Role focuses on GenAI research, evaluation, post-training, agents, RL environments, and open-source contributions; requires publications and strong communication with executives and partners.

Ideal Candidate

The ideal candidate is an experienced research leader with 8+ years in ML/AI, a record of publications in top venues, and a proven ability to lead cross-functional teams to translate research into production-ready GenAI systems.

Must-Have Skills

8+ years of hands-on research experience in ML/DL/generative models or related domainsleading or managing research teamsexcellent written and verbal communicationability to articulate research ideas to technical and non-technical stakeholderspublications in top-tier ML/AI venues (NeurIPSICMLICLRACL)

Nice-to-Have Skills

Hands-on experience building and deploying agent-based or workflow-driven LLM systems in enterprise environmentsexperience owning enterprise AI platforms or internal ML products at scaleexperience partnering with enterprises to identify high-impact use cases and deliver measurable business outcomes

Required Skills

machine learningdeep learninggenerative modelsagent-based systemsreinforcement learningRL environmentspublicationsopen-source contributionsresearch roadmapleadershipmentoringstakeholder managementcross-functional collaborationGenAINeurIPSICMLICLRACL

Hard Skills

machine learningdeep learninggenerative modelsagent-based systemsreinforcement learning (RL) environmentspublication in top-tier ML/AI venuesopen-source contributionsresearch roadmapmulti-disciplinary collaborationpresentation at conferences

Soft Skills

leadershipmentoringcommunicationstakeholder managementcollaborationvision settingdelivery focus

Industry & Role

Industry SaaS
Job Function Lead enterprise ML research strategy and execution, turning research into production-ready AI systems
Role Subtype Executive & General Management

Keywords for Your Resume

DirectorEnterprise ResearchGenAImachine learningdeep learninggenerative modelsagentsRL environmentsneuripsicmliclraclopen-source contributionspublicationsleadershipmentoringresearch roadmapenterprise ai platformsscale ai

Deal Breakers

less than 8 years of ML research experience, no team leadership experience, no publications in top-tier ML venues, unable to articulate research to non-technical stakeholders

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