Hiring: Member of Technical Staff - Research Software Engineer - Safety Evaluations Infrastructure Company: Reflection Location: San Francisco, CA Job Posted Time: 2026-09-10 12:23:53 Target Skills & Keywords : Data Pipeline, Encryption, LLM, Python, RBAC, REST About the job Required Skills: •Design and build secure, sandboxed infrastructure for running sensitive model evaluations, including CBRN and other dangerous-capability domains. •Build controlled data pipelines and storage for sensitive evaluation material, applying least-privilege and need-to-know access, role-based access control (RBAC), encryption at rest and in transit, audit logging, and data-minimization safeguards. •Partner with safety researchers and domain experts to translate evaluation designs into reliable, reproducible, and scalable systems. •Build eval-orchestration tooling and harnesses that let researchers run high-throughput evaluations against models and agents in isolated environments. •Develop infrastructure for measuring AI capability uplift in high-consequence domains, and integrate results into the pipelines that inform release decisions. •Implement guardrails, monitoring, and compartmentalization so sensitive work stays appropriately siloed, applying least-privilege, need-to-know, and defense-in-depth principles across compute, data, and tooling. •Write production-quality Python (and related tooling) for high-throughput data processing and evaluation systems. •Improve the reliability, security posture, and developer experience of the safety team's evaluation platform over time. Qualifications: •Strong software engineering skills, particularly in Python, with a track record of building reliable, scalable infrastructure or platform systems. •Solid grounding in security engineering fundamentals: principle of least privilege, need-to-know access, role-based access control (RBAC), secrets management, encryption, audit logging, compartmentalization, and defense-in-depth design. •Demonstrated capacity to own entire problems end-to-end, including ambiguous, cross-functional ones. •Comfort working on sensitive projects that require discretion, integrity, and sound judgment. •Thrive in a fast-paced, high-agency startup environment with a bias toward action. •Strong candidates may also have •Operational familiarity with dangerous-capability or dual-use domains and the information-security considerations they involve. •Operational familiarity with compliance frameworks relevant to sensitive data handling. •We encourage you to apply even if you don't meet every qualification. Not all strong candidates will match every item listed. Compensation: •Top-tier compensation: Salary and equity structured to recognize and retain our talent globally Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!