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Research Program Manager - Model Development

Reflection AI · New York, NY · San Francisco, CA · London

CHECKED 18H AGO

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At a glance

Highlights

  • Embed with pre-training ML and Data teams at frontier model core.
  • Drive cross-team initiatives spanning data, architecture, training, eval.
  • Coordinate experiment prioritization, run scheduling, and checkpoint handoffs.

What they offer

  • Top-tier compensation with salary and equity
  • Stock options for all contributors
  • Comprehensive medical, dental, vision, life plus wellness allowance
  • Lunch and dinner provided in office daily
  • 22 weeks paid parental leave
  • Unlimited PTO in US, 30 days in UK
  • Visa sponsorship support
  • Regular off-sites, happy hours, and team celebrations

Ideal candidate

High-agency operator who thrives in ambiguity and earns trust with researchers by making them faster. Motivated by building frontier open-weight AI from zero to one.

Requirements

  • 7+ years in technical program management, research operations, or ML engineering building programs from scratch in research/ML environments
  • Technical depth to discuss model architecture, scaling laws, data pipelines, training dynamics, and optimizer tradeoffs
  • Proven ability to embed with technical teams and earn trust through competence and curiosity
  • Resourceful, high-agency operator who navigates ambiguity and shifting priorities
  • Strong stakeholder management and influence with senior technical staff
  • Comfortable in high-stakes environments impacting model quality, compute spend, and training timelines
  • Excited to build from zero to one in a small, fast-moving team
  • Motivated by enabling researchers to build capable open-weight AI systems
visa sponsorship
Visa sponsorship available

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
More about Reflection AI →
Apply on the lab’s site ↗