Member of Deployment Staff - Public Sector

Reflection•San Francisco, CA

About The Position

Reflection is a research lab that builds open models to make intelligence accessible for people to use, customize, and build on. Members of Deployment Staff are the technical owners of customer engagements, responsible for technical execution from discovery and solution architecture through proof of concept and production delivery. The work spans the AI stack, including GPU orchestration, inference, model post-training, and custom harnesses and applications. In this role, you will support U.S. government customers by deploying Reflection’s open models into secure, classified, or edge environments. You will partner with customers’ ML and engineering teams, deliver strategic engagements, and bring lessons from the field back to Reflection’s models and platform. The position requires an active U.S. government clearance; TS/SCI is preferred.

Requirements

  • Experience delivering software into classified or air-gapped government environments, including knowledge of security controls, accreditation processes, and constraints on offline deployment.
  • Strong technical fluency in code, architecture, and system behavior; strong Python skills and experience shipping production-grade systems.
  • Track record leading complex technical projects, coordinating contributors across workstreams, making practical tradeoffs, removing obstacles, and owning end-to-end delivery outcomes.
  • Hands-on infrastructure and inference experience, including deploying multi-node GPU clusters using Kubernetes or Slurm, serving large models in production using vLLM or SGLang, and benchmarking tradeoffs such as quantization, caching, batching, and speculative decoding.
  • Experience shipping LLM-based agents to production in the last 1–2 years, designing agent harnesses and evaluations, and understanding when post-training can be used.
  • At least 5 years of relevant experience delivering technical systems, including at least 2 years in a technical leadership role such as tech lead, engineering manager, or founding engineer.
  • Demonstrated ability and interest in customer-facing work, understanding user needs, architecting solutions for real business problems, and delivering tangible outcomes, from whiteboard sessions through debugging deployments in customer environments.
  • Self-starter with high agency and ownership who excels in fast-paced startup environments where playbooks are still being written.
  • Active U.S. government clearance.

Nice To Haves

  • TS/SCI clearance.

Responsibilities

  • Design, deploy, and operate agentic systems in air-gapped and classified networks, including fully offline model serving without external services.
  • Work on-site with government customers, including in SCIFs, and translate mission requirements into secure AI solutions that meet accreditation and compliance standards.
  • Lead technical discovery with customer teams across inference workloads, agentic applications, and post-training; translate customer needs into feasible solutions and clear success criteria.
  • Own proofs of concept end to end by defining evaluation criteria, benchmarking on customer workloads, and demonstrating quality, latency, and cost against competing options.
  • Architect and build complex AI systems, including agentic applications, model-serving infrastructure, evaluations, and post-training recipes.
  • Own customer engagements and relationships by defining project plans, managing work across workstreams, and keeping stakeholders aligned.
  • Identify repeatable field patterns and model gaps that should inform platform or model capabilities; build and validate prototypes and generalize them into platform and research priorities.
  • Help scale the deployment organization by defining playbooks, reference architectures, reusable technical assets, and best practices.

Benefits

  • Stock options.
  • Comprehensive medical, dental, vision, and life coverage.
  • Annual wellness allowance.
  • Lunch and dinner provided in the office daily.
  • 22 weeks of paid parental leave for new birthing and non-birthing parents, including adoptive and surrogate journeys.
  • Unlimited paid time off in the U.S. and 30 vacation days in the U.K.
  • Visa sponsorship and support for long-term immigration pathways where applicable.
  • Regular off-sites, happy hours, and team celebrations.
  • Top-tier compensation, including salary and equity structured to recognize and retain talent globally.
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