Member of Technical Staff - Research Software Engineer - Safety Evaluations Infrastructure

Highlights

• Build secure sandboxed infrastructure for CBRN and dangerous-capability evals.
• Own systems that directly inform release decisions for open models.
• Build eval harnesses to measure AI capability uplift in high-consequence areas.

What they offer

• Top-tier compensation: salary and equity structured to recognize and retain talent globally
• Stock options for everyone who joins and contributes to Reflection's success
• Comprehensive medical, dental, vision, and life insurance with annual wellness allowance
• Lunch and dinner provided in the office daily
• 22 weeks paid parental leave for all new birthing and non-birthing parents
• Unlimited paid time off in the U.S. and 30 days in the U.K.
• Visa sponsorship support and long-term immigration pathways where applicable
• Regular off-sites, happy hours, and team celebrations

Ideal candidate

High-agency infrastructure builder who thrives on ambiguous, cross-functional problems and cares deeply about safe, open AI. Comfortable handling sensitive work with discretion and turning researcher needs into trustworthy systems.

Requirements

• Strong software engineering skills, particularly in Python, building reliable, scalable infrastructure or platform systems
• Experience building sandboxed, isolated, or security-sensitive execution environments
• Solid grounding in security engineering fundamentals including least privilege, RBAC, encryption, audit logging and defense-in-depth
• Experience building data pipelines and handling sensitive or restricted data with safeguards
• Ability to own ambiguous, cross-functional problems end-to-end
• Comfort working on sensitive projects requiring discretion, integrity and sound judgment
• Thrive in a fast-paced, high-agency startup environment with bias toward action