AI Support Engineer

Posted 22 Days Ago
Be an Early Applicant
2 Locations
Mid level
Software
The Role
As an AI Support Engineer, manage support requests, maintain the knowledge base, troubleshoot ML model deployment issues, and optimize models using tools like TensorRT.
Summary Generated by Built In

ABOUT BASETEN

Join our dynamic team at Baseten, where we’re revolutionizing AI deployment with cutting-edge inference infrastructure. Backed by premier investors such as 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—to deliver top-tier performance, security, and reliability for their production workloads. With our recent $75 million Series C funding, we’re poised to accelerate our mission to make AI accessible across all products. If you’re passionate about tackling impactful challenges and building transformative solutions from the ground up, we invite you to join us on this exciting journey!

THE ROLE

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.

We all work closely with our users, learning from their experiences and turning our learnings into ideas for improving Baseten’s support processes and user experience.

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.

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 (Unlimited PTO, 401k, covered healthcare premiums).

  • 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.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.

At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

Top Skills

Ml
Tensorrt
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The Company
59 Employees
On-site Workplace

What We Do

At Baseten we provide all the infrastructure you need to deploy and serve ML models performantly, scalably, and cost-efficiently.

Get started in minutes, and avoid getting tangled in complex deployment processes. You can deploy best-in-class open-source models and take advantage of optimized serving for your own models.

We also utilize horizontally scalable services that take you from prototype to production, with light-speed inference on infra that autoscales with your traffic.

Best in class doesn't mean breaking the bank. Run your models on the best infrastructure without running up costs by taking advantage of our scaled-to-zero feature

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