Remote AI Support Engineer

Description:

• As an AI Support Engineer, you will manage and resolve support requests while maintaining our knowledge base.
• You will use various tools to troubleshoot issues, ensuring users have a seamless experience.
• The role includes a mix of core responsibilities and opportunities for extended contributions.
• You will work closely with users, learning from their experiences to improve Baseten’s support processes and user experience.
• Responsibilities include resolving critical user issues and building tools to assist customers in deploying ML models at scale.
• You will own and maintain the Product Knowledge Base.
• Collaborate with the 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.
• Become an expert in the open-source Truss library, contributing to its development and helping users package diverse ML models efficiently.
• Identify patterns in user feedback to shape the product roadmap, particularly around ML model deployment and scaling features.
• Own products and projects end-to-end, functioning as both an engineer and a project manager, focusing on user empathy, project specification, and execution.
• Navigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems, avoiding unnecessary complexity.
• Demonstrate pride, ownership, and accountability for your work, expecting the same from teammates.

Requirements:

• A Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field is required.
• You must have 3+ years of professional work experience in a fast-paced, high-growth environment.
• Experience in resolving critical user issues and building tools for smooth ML model deployment is necessary.
• Familiarity with troubleshooting complex ML pipelines, including data preprocessing and model serving, is required.
• Knowledge of ML model optimization, including technologies like TensorRT for GPU acceleration, is essential.
• Expertise in using and contributing to open-source libraries, particularly for packaging ML models, is needed.
• You should have the ability to identify and analyze user feedback to influence product development.
• The ability to own projects end-to-end, from project specification to execution, is required.

Benefits:

• You will receive a competitive compensation package that includes unlimited PTO, a 401k plan, and covered healthcare premiums.
• This position offers a unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era.
• You will be part of an inclusive and supportive work culture that fosters learning and growth.
• The role provides exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.