Forward Deployed Engineer (Training)

About the job

Responsibilities

• Serve as the de facto CTO for customer accounts on Baseten, ensuring their workloads are designed, run, and scaled effectively.
• Guide customer objectives from vague ideas to shipped products by defining problems, setting success criteria, building proofs-of-concept, and managing the transition to production.
• Design and implement evaluations and benchmarks to identify quality or performance issues, and then resolve these issues through inference optimization, post-training improvements, or eval rework.
• Respond to critical failures, including triage, owning the fix, or coordinating with the appropriate teams, ensuring accountability until resolution.
• Develop internal systems, tooling, and automation to improve the efficiency of evaluations and deployment infrastructure, and create self-serve resources.
• Contribute to the Baseten product roadmap by channeling customer needs into feature development and bug fixes within the Baseten codebase.
• Manage multiple customer engagements simultaneously, prioritizing work, coordinating resources, and maintaining alignment with customers and internal stakeholders on status and risks.

Requirements

• Minimum 1-2 years of software engineering experience, with a track record of shipping and maintaining code in large production systems, ideally with full-stack exposure.
• Proven ability to debug complex production issues using logs, metrics, and traces to identify root causes in unfamiliar systems.
• Confidence in owning ambiguous technical problems, including triaging, making decisions with incomplete information, and knowing when to escalate.
• Motivation to work directly with customers, understand their challenges, and influence product development.
• Clear communication skills for explaining complex technical topics to both engineers and leadership.
• Genuine curiosity about AI inference and training, with a drive to become an expert in AI infrastructure.
• Willingness to be available for customer support outside regular hours and participate in an on-call rotation.
• Enthusiasm for solving problems for major AI companies running mission-critical workloads.

Benefits

• Competitive compensation package including meaningful equity.
• 100% coverage of medical, dental, and vision insurance for employees and dependents.
• Flexible Paid Time Off (PTO) policy.
• Company-wide Winter Break (offices closed from Christmas Eve to New Year's Day).
• Paid parental leave.
• Fertility and family-building stipend.
• Company-facilitated 401(k).
• Exposure to diverse ML startups for learning and networking opportunities.