Engineer (early career)

Our client is a fast-moving startup doing ambitious work in AI. They're hiring early-career engineers with raw ability rather than domain experience. The role is deliberately broad: machine learning, geometry, graphics, and AI, spanning geometry and data pipelines, evaluation harnesses, internal tooling, and training and experiment support. They want real strength in one of those areas and curiosity about the rest.What will you be doing?Build and maintain geometry and data pipelines. Parse CAD, convert formats, extract features, and verify that what comes out matches what went in.Write the evaluation harnesses and tooling that tell the team whether a model actually got better.Support training and experiment runs. Instrument them, debug failures, and turn results into something readable at a glance.Build internal tools that remove friction for everyone else.Take well-scoped pieces of larger research and engineering efforts, then grow your scope as you earn it.DealbreakerWork experienceExperience with ML training, data pipelines, or internal toolingInternships or research at organizations with a high hiring bar: top aerospace, automotive, or robotics companies, leading AI research labs, or major tech companies, or a lab affiliationEducationBS or MS in CS, engineering, math, physics, or a related technical field, from a highly competitive, top-tier programHard skillsProficient in Python and/or C/C++BaselineSeniority0–2 years of experience (ONLY) in software engineering, including internships and researchMiscellaneousWilling to start as a generalist before specializingNice-to-haveHard skillsExposure to one of four adjacent domains: CAD, robotics, perception, or graphics and game design. Coursework or projects count; depth is not expected.