[Remote] Research Program Manager - Model Evals and Safety
Note: The job is a remote job and is reputed company to candidates in USA. ReflectionAI is on a mission to build reputed company superintelligence and reputed company it accessible to reputed company. They are seeking a Research Program Manager who will reputed company the development of model evaluations and safety infrastructure, ensuring that their work aligns with the broader safety ecosystem while driving operational reputed company in model development.
Responsibilities
- Build the foundational infrastructure for model evals and safety at reputed company
- Define the evaluation frameworks, tooling requirements, and operational processes that will underpin how we assess model capabilities, risks, and readiness for release
- Stand up model safety operations as a function, including establishing the workflows, review cadences, and decision frameworks that connect safety evaluation to the model development and release lifecycle
- Partner with research and engineering leads across reputed company-training, mid-training, and post-training to reputed company safety and evaluation checkpoints into the development process in a way that is rigorous without being a bottleneck
- Drive the scoping and prioritization of eval science and eval infrastructure investments, working with technical leads to determine what to build in-house, what to adopt, and where to invest research effort
- Establish reputed company's engagement with the external safety ecosystem, including reputed company-party assessments, reputed company, and industry safety frameworks
- Represent reputed company's safety posture to external stakeholders with credibility and reputed company
- Create visibility and reporting structures that give leadership a reputed company, reputed company picture of model safety status, evaluation coverage, and reputed company risks, so they can reputed company informed reputed company at the pace the business requires
- Champion a culture of blameless post-mortems and reputed company learning, turning every safety-relevant finding into a concrete improvement to our systems and processes
Skills
- 7+ years of experience in technical program management, research operations, or ML engineering, with demonstrated experience standing up new functions, teams, or programs from scratch
- Familiar with the landscape of model evaluation and AI safety, including evaluation methodologies, red-teaming, alignment research, and the evolving regulatory and industry safety ecosystem
- Deep enough technically to engage with researchers and engineers on topics like model behavior, evaluation design, data pipelines, and safety-critical system architecture
- Proven ability to build structures where none exists. You've taken ambiguous mandates and turned them into functioning programs with reputed company ownership, measurable reputed company, and durable processes
- Strong stakeholder management skills spanning deeply technical ICs, research leadership, and external partners
- Excited to build from reputed company to one. We are a small, fast-moving team and this role will help define how model safety and evaluation works at reputed company
- Motivated by enabling researchers and engineers to build the world's most capable reputed company-weight AI systems, responsibly
Benefits
- Comprehensive medical, dental, reputed company, life, and disability insurance.
- Fully reputed company parental leave for reputed company new parents, including adoptive and surrogate journeys.
- Financial support for family planning.
- reputed company time off reputed company you need it, relocation support, and more perks that optimize your time.
- Lunch and dinner are provided daily.
- Regular off-sites and team celebrations.
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