Baseten is hiring a
AI Support Engineer

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Baseten

πŸ’΅ ~$150k-$180k
πŸ“Remote - United States

Summary

The job is for an AI Support Engineer at Baseten, a rapidly growing startup in the ML infrastructure market. The role involves managing support requests, maintaining the knowledge base, troubleshooting issues, collaborating with the Forward Deployed Engineering team, and becoming an expert in the open-source Truss library.

Requirements

  • Become an expert in our open-source Truss library, contributing to its development and helping users package diverse ML models efficiently
  • Identify patterns in user feedback to shape our product roadmap, particularly around ML model deployment and scaling features

Responsibilities

  • Resolve critical user issues and build tools to assist customers in smoothly deploying ML models at scale
  • Own and maintain our Product Knowledge Base
  • Collaborate with our Forward Deployed Engineering team to troubleshoot complex ML pipeline issues, from data preprocessing to model serving
  • Assist users in optimizing ML models, including working with technologies like TensorRT for GPU acceleration

Preferred Qualifications

  • Can own support projects end-to-end; support engineers at Baseten also function as PMs, so we’d like everyone on the team to be able to empathize with our users, understand/write project specs, and manage the end-to-end execution of projects
  • Are comfortable with navigating ambiguity and enjoy the journey as much as the destination
  • Are motivated by customer problems and find joy in creating simple, elegant solutions that avoid unnecessary complexity
  • Exercise good judgment on tradeoffs and tools needed to solve the problem and don’t over index on trendy/fashionable tech unless it’s the right tool for the job

Benefits

  • Competitive compensation package (Unlimited PTO, 401k, covered healthcare premiums, remote-first culture)
  • A unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era
  • An inclusive and supportive work culture that fosters learning and growth
  • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities

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