Reflection AI · San Francisco, CA ·
Leads a team building and scaling the shared infrastructure (distributed systems, Kubernetes, and service platforms) that supports AI research, training, and production at an open-source AI lab in San Francisco.
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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.
Build, mentor, and grow a high-performing team of systems engineers. Coach and support your reports in understanding, and pursuing, their professional growth.
Provide front-line leadership of engineering efforts to build and scale our shared services distributed systems design, container and Kubernetes abstraction layers, and the service platform teams build on.
Stay hands-on: become familiar with the team's technical stack enough to make targeted contributions as an individual contributor.
Manage day-to-day execution: prioritize the team's work and manage projects in a highly dynamic, fast-paced environment.
Guide technical and architectural decisions, emphasizing scalability, robustness, and reliability SLI/SLO design, healthy on-call practices, consistency, backpressure, and tail-latency under load.
Work closely with our research and training teams to co-design the primitives they depend on, and translate their needs into platform investments and roadmap.
Raise the bar for technical judgment, prioritization, communication, and execution in a fast-moving environment.
Experience building, mentoring, and growing engineering teams while staying technically hands-on.
Deep distributed-systems engineering experience, with real ownership of production-grade systems at scale.
Strong coding ability and the credibility to earn the technical trust of a strong team.
Depth in at least one of the team's core areas — distributed systems architecture, service reliability, or the container/service platform — with the ability to learn the rest.
Fluency with the reliability toolkit: SLIs/SLOs, on-call, sharding and replication, coordination services, and tail-latency optimization.
Ability to guide strategy and drive execution in a fast-moving, zero-to-one environment, and to partner effectively with research and training teams.
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.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.
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.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
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