Forward Deployed Engineer (Training)

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Forward Deployed Engineers work directly with the largest and fastest-growing AI companies in the world, owning their technical outcomes on Baseten and taking on the hardest problems in serving and improving models at scale. The work spans the model lifecycle: inference, post-training, and the systems that tighten the loop between them. Act as each account's de facto CTO on Baseten, with final accountability for how their workloads are designed, run, and scaled. Take customer objectives from vague to shipped: frame the problem, define the spec and success criteria, build the PoC, and carry it through to production quickly, using the right tools for the problem. Design the evals and benchmarks that isolate where quality or performance falls short, then close the gap yourself, whether that means optimizing inference, imp [... source excerpt omitted ...] es and features into Baseten's codebase yourself. Do all of this across multiple accounts at once, sequencing the work, pulling in the right people at the right time, and keeping customers and internal stakeholders aligned on status and risk. REQUIREMENTS Minimum 1-2 years of software engineering experience, shipping and maintaining code in large production systems, ideally with breadth across the stack Experience debugging complex production issues - working through logs, metrics, and traces to root-cause problems in unfamiliar systems Confidence owning ambiguous technical problems. This includes triaging, making decisions under uncertainty, and knowing when to pull in othe [... source excerpt omitted ...] nting to work directly with customers, understand their problems firsthand, and influence the product Clear communication on complex technical topics, whether you're talking to a customer's engineers or their leadership Genuine curiosity about AI inference and training, and a drive to become an expert in the infrastructure powering it Willingness to respond to customers outside regular working hours and participate in an on-call rotation Excitement about solving problems for some of the largest and fastest-growing companies in the world running mission-critical AI workloads WHAT YOU'LL BRING We don't expect any one person to cover all of this - the strongest candidates may