AI Support Engineer

AI Support Engineer

Requirements

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

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.
• 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.
• Own products and projects end-to-end, functioning as both an engineer and a project manager, with a focus on user empathy, project specification, and end-to-end 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 your teammates.

Preferred Qualifications

No preferred qualifications provided.