About Baseten
Join our dynamic team at Baseten, where we’re revolutionizing AI deployment with cutting-edge inference infrastructure. Backed by top-tier investors like IVP, Spark Capital, Greylock, and Conviction, we’re trusted by leading enterprises and AI-driven innovators—including Descript, Bland.ai, Patreon, Writer, and Robust Intelligence—for high-performance, secure, and reliable production workloads.
With a recent $75 million Series C funding round, we are accelerating our mission to make AI accessible across all products. If you're passionate about impactful challenges and building transformative solutions from the ground up, we invite you to join us.
The Role
As an AI Support Engineer, you will manage and resolve support requests, maintain our knowledge base, and troubleshoot issues to ensure a seamless experience for users. This role offers a combination of core responsibilities and the chance to contribute across the organization.
You will work closely with users, learning from their experiences and translating those learnings into ideas that improve Baseten’s support processes and overall user experience.
Responsibilities
- Resolve critical user issues and build tools that help customers deploy ML models at scale
- Own and maintain our Product Knowledge Base
- Collaborate with the Forward Deployed Engineering team to troubleshoot complex ML pipeline issues, including data preprocessing and model serving
- Assist users in optimizing ML models using tools like TensorRT for GPU acceleration
- Become an expert in our open-source Truss library, contributing to its development and supporting model packaging
- Identify user feedback patterns and influence the product roadmap, especially around model deployment and scaling
- Own products and projects end-to-end, acting as both engineer and project manager
- Navigate ambiguity and make thoughtful tradeoffs to avoid unnecessary complexity
- Take pride in your work and hold yourself and teammates accountable
Requirements
- Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Mathematics, or related field
- 3+ years of professional experience in a fast-paced, high-growth environment
- Experience resolving critical user issues and building tools for ML model deployment
- Familiarity with complex ML pipelines, including data preprocessing and model serving
- Knowledge of ML model optimization and GPU acceleration (e.g., TensorRT)
- Expertise in open-source libraries for packaging ML models
- Ability to analyze user feedback to inform product decisions
- Proven capability to own and execute projects end-to-end
Benefits
- Competitive compensation (Unlimited PTO, 401k, covered healthcare premiums)
- Opportunity to be part of a rapidly growing startup in a cutting-edge engineering space
- Inclusive and supportive work culture with focus on growth and learning
- Exposure to a wide variety of ML startups, offering deep learning and networking opportunities
