Forward Deployed Engineer (training)

Baseten Baseten · Data AI · San Francisco, CA · EPD

Forward Deployed Engineer focused on architecting, building, and deploying high-scale post-training solutions (fine-tuning, SFT, RL) for customers on Baseten's platform. This hands-on role involves customer collaboration from exploration to production, translating business goals into performant pipelines, and working across product, engineering, and customer teams.

What you'd actually do

  1. Drive customer impact by designing, implementing, and deploying Baseten solutions end-to-end: problem framing, evaluations, post-training approach and experiment design, experimentation, quantization, and production deployment. This involves working with customers’ engineering teams at every stage of the customer journey, including sales, implementation, and expansion.
  2. Develop and maintain software systems and product features using Python in a production-level environment.
  3. Optimize and enhance our post-training solutions, contributing to the continuous improvement of our technical stack. This includes developing features and PRDs with engineering and product teams.
  4. Own products and customer projects end-to-end, functioning as an engineer, project manager, and product manager, with a focus on user empathy, project specification, and end-to-end execution.
  5. Deliver with velocity: turn vague objectives into clear specs and well-defined PoCs so we can rapidly ship well-tested services and outcomes for our customers.

Skills

Required

  • Python proficiency
  • Experience working with RL and SFT for large language models
  • Strong communication skills, particularly on complex technical topics

Nice to have

  • architecture design
  • experiment design
  • quantization
  • production deployment
  • technical customer success
  • pre-sales solution engineering

What the JD emphasized

  • post-training solutions
  • fine-tuning pipelines
  • RL and SFT for large language models

Other signals

  • post-training solutions
  • fine-tuning pipelines
  • customer deployments