Member of Technical Staff Intern, AI Systems (2027)

A 12-week paid internship building real pieces of the Orcher control plane. This is not a shadowing programme. Interns own a scoped, real piece of work: an evaluation harness, a ledger export path, a policy simulation tool, or a routing analysis that appears in published research. You will be paired with a senior engineer, review code with the team, and present your work at the end of the term. Strong interns are offered full-time Member of Technical Staff roles. Terms are available in summer and, by arrangement, during the academic year. What you will do Own a scoped project with real users inside the control plane, routing, or evidence stack. Write production code with tests and participate in code review. Instrument and measure your own work rather than assuming it helped. Document what you built so it outlives your term. Present findings to the team at the end of the internship. What we look for Strong programming ability in Python, TypeScript, Go, or Rust. Solid computer-science fundamentals: data structures, concurrency, and systems basics. Evidence of building something substantial — coursework, open source, research, or personal projects. Curiosity about AI governance, evaluation, or distributed systems. Ability to work independently between check-ins and to ask for help early. Experience Prior internship, research assistantship, or significant open-source contribution is welcome but not required. No professional experience is required; we evaluate what you have built. Education Currently enrolled in a BS, MS, or PhD programme in Computer Science, Engineering, Mathematics, or a related field. Recent graduates and career changers with a strong project portfolio are also considered. Compensation and benefits Paid internship with a housing stipend for New York-based terms. Direct mentorship from a senior engineer and weekly time with the founder. Hardware provided and compute budget for evaluation work. Named credit on any research your work contributes to. #J-18808-Ljbffr Dipp AI Technologies