AI Support Engineer
As an AI Support Engineer, you’ll manage and resolve support requests, maintain our knowledge base, and use various tools to troubleshoot issues, ensuring our users have a seamless experience. This role includes a mix of core responsibilities and opportunities for extended contributions.
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.
Benefits
Competitive compensation package.
This is 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.
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.
The application process will continue on the employer's website.
Location
San Francisco, New York