Research Program Manager, Research Infra and Training Frameworks
Reflection is an AI research lab building open frontier models and a full AI stack for developers, enterprises, and public-sector users.
Funding history
About Reflection
Reflection develops open-weight AI models, open-source software for customizing and running agents, AI-factory infrastructure, and related solutions. Its current research emphasizes large language models, reinforcement learning, and agentic reasoning.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own cross-functional programs spanning training infrastructure across pre-training, mid-training, and post-training. You will gather and unify requirements, scope and drive the scale-up rewrite of the trainer with research and GPU infra engineers, define the training frameworks roadmap, and keep visibility into training run health. You will also create lightweight processes for handoffs, config management, and checkpoint workflows, and translate technical complexity into clear updates for leadership.
Requirements
- 7+ years of experience in technical program management, research operations, or infrastructure coordination, ideally in ML/AI or large-scale distributed systems
- Technical knowledge of distributed training frameworks, GPU cluster architecture, scheduler behavior, networking, and storage systems
- Ability to operate in high-ambiguity, fast-moving environments
- Track record of managing complex multi-team programs with competing priorities and hard deadlines
- Strong stakeholder management across technical ICs and senior leadership
- Comfortable operating in crisis mode
- Excited to build from zero to one
Responsibilities
- Own cross-functional programs spanning training infrastructure across pre-training, mid-training, and post-training
- Define and own the roadmap for training frameworks
- Partner with infrastructure and research engineering leads to identify bottlenecks and tie infrastructure investments to research velocity
- Build and maintain visibility into training run health
- Create lightweight, durable processes for cross-team handoffs, config management, and checkpoint workflows
- Translate technical complexity into clear status updates and decision frameworks for leadership and executives
Benefits
- Stock options
- Comprehensive medical, dental, vision, and life insurance
- Annual wellness allowance
- Lunch and dinner provided in the office daily
- 22 weeks paid parental leave
- Unlimited paid time off in the U.S. and 30 days in the U.K.
- Visa sponsorship support
- Regular off-sites, happy hours, and team celebrations
