Research Program Manager, Pre-training
Reflection AI · San Francisco, CA
Frontier labonsite
At a glance
Highlights
- Embed with pre-training ML and Data teams at frontier model core.
- Drive cross-team research from data pipelines to model evaluation.
- Coordinate experiment prioritization, run scheduling, and handoffs.
What they offer
- Annual wellness allowance
- Lunch and dinner provided in the office daily
- 22 weeks paid parental leave for all new parents
- Unlimited paid time off in the U.S. and 30 days in the U.K.
- Regular off-sites, happy hours, and team celebrations
Ideal candidate
High-agency operator with 7+ years around ML research who thrives in ambiguity and loves making researchers faster. Deeply curious about frontier models and energized by bringing clarity to complex, high-stakes research.
Requirements
- 7+ years in technical program management, research operations, or ML engineering
- Deep enough technically to engage on architecture, scaling laws, data pipelines and training dynamics
- Proven ability to embed within technical teams and earn trust through competence and curiosity
- Resourceful and high-agency, navigating ambiguity without losing momentum
- Strong stakeholder management and ability to influence senior technical staff
- Comfortable in high-stakes environments impacting quality, compute spend and timelines
- Excited to build from zero to one
- visa sponsorship
- We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Lab profile
About Reflection AI
Research lab making intelligence open and accessible for everyone to use, customize, and build on.
What they build
- Open foundation models
- Aligned general agents
- Enterprise AI deployments
Known for
- Frontier model pre-training
- Post-training and alignment
- Distributed training infrastructure
- Secure cloud platform foundations
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