Reflection · San Francisco, CA; London; New York, NY
Engineering Lead for Reflection's Shared Services team, which builds services used by research, training, and production environments. Work covers sharding, replication, coordination, Kubernetes abstraction layers, and SLI/SLO design. Role includes mentoring engineers and translating research and training needs into platform roadmap.
Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
Reflection's Shared Services team builds and operates the shared services that power our research, training, and production environments the systems multiple teams depend on for model development, deployment, and evaluation. Sharding, replication, coordination, high-concurrency correctness, and tail-latency under real load are genuinely hard systems problems, and everything above us assumes this layer just works.
As Shared Services Lead, you'll provide leadership of the team that builds these services. You'll build, mentor, and grow the engineers who own this layer, guide the technical and architectural decisions that shape it, and work closely with our research and training teams to turn their needs into reliable platform primitives. You'll stay close enough to the stack to make targeted contributions as an individual contributor and to maintain a deep understanding of the team's technical work.
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
Equal Employment Opportunity Statement
Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply.
We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at [email protected].
We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice