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Forward Deployed Engineer (Training)

Baseten· EPD
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Hybrid (San Francisco), Hybrid (New York)$200k - $400kFull-timePosted 2mo ago

About the role

Forward Deployed Engineers work directly with the largest and fastest-growing AI companies, owning technical outcomes on Baseten and solving hard problems in serving and improving models at scale across the model lifecycle (inference, post-training, and related systems).

Responsibilities

  • 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, improving the model through post-training, or reworking the eval itself.
  • Be the first responder to mission-critical failures including triage, owning the fix directly or route to the owning team and stay accountable until it ships.
  • Build internal systems so that each engagement is faster than the last. This includes tooling and automation for eval and deployment infrastructure, and the recipes and reference implementations that make the product more self-serve.
  • Shape the product itself, channeling what your accounts need into the roadmap and shipping fixes 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.

Qualifications

  • 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 other engineers who own the underlying systems
  • Motivation beyond pure engineering. An interest in wanting 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

Skills

Required:Software engineeringDebugging production issuesCustomer collaborationCommunicationAI inference and training

Benefits

  • Competitive compensation, including meaningful equity
  • (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
  • Flexible PTO policy including company wide Winter Break (offices closed from Christmas Eve to New Year's Day)
  • Paid parental leave
  • Fertility and family-building stipend through Carrot
  • (U.S. only) Company-facilitated 401(k)
  • Exposure to a variety of ML startups, offering learning and networking opportunities.
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About Baseten

Inference is everything

Effortlessly serve optimized open source & custom models on the fastest, most reliable model delivery network.

AICloud InfrastructureDeveloper ToolsInference PlatformMachine LearningModel DeploymentModel Runtimesai-infrastructure-and-development

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