AI Support Engineer, Baseten
$110-150k
+ Equity
ML application builder for data scientists
Open for applications
ML application builder for data scientists
21-100 employees
Open for applications
$110-150k
+ Equity
21-100 employees
Company mission
To make machine learning accessible to every organisation.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
As with its mathematical namesake, Baseten focuses on simplifying the complex. The San Francisco startup focuses on simplifying the integration of artificial intelligence into businesses. The tools that Baseten built demolish the need for businesses to hire specialised engineers, utilising the huge strides in artificial intelligence that we’ve seen in the last few years without adding workload to businesses.
With serious funding behind it, Baseten has grown its team by three times year-over-year over the last five years, especially across engineering and marketing. Having hired talent from companies such as GitHub, Google, Uber, Amazon, and Palantir, part of Baseten's focus is on helping companies implement the tools that they have at their disposal, a long-overlooked aspect of machine learning that many businesses have been eager to champion, but uncertain on how to actually use.
Simplifying the complex world of artificial intelligence for business is no mean feat but the three founders, who met whilst working as engineers at Gumroad, have a lot of experience in how to navigate this gap in the market.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 4 rounds)
Feb 2025
$75m
SERIES C
Mar 2024
$40m
SERIES B
Total funding: $135m
Company benefits
- Remote-first work environment. The Baseten team is welcome to work from wherever they want; fully remote, in our San Francisco office, or a mix of both. Today, our team (including our founding team) is spread across the United States, Canada, and Armenia. We provide a $1,000 stipend for you to make your home-office comfortable and productive
- Regular in-person team summits. We get together as a team three times a year to plan, workshop, and most importantly, get to know each other better
- Unlimited PTO. We ask that everyone take at least 4 weeks of vacation. And we have a company-wide break between Christmas and New Year's Day
- Full healthcare coverage. Medical, dental and vision insurance for you and your family
- Paid parental leave. 16-weeks fully paid parental leave (adoptive and non-birth parents included) and flexibility with schedules while returning to work
- Company-sponsored 401(k) for you to contribute to
- Learning and development budget. We encourage you to take classes, attend conferences, and invest in your craft and we’ll cover expenses to make it happen
Company HQ
Union Square, San Francisco, CA
Leadership
Tuhin Srivastava
(Co-Founder)Previously Co-Founder at Shape, Machine Learning at Gumroad and Skulpt.
Amir Haghighat
(Co-Founder)Previously Head of Engineering at Gumroad, Software Engineer at Yelp and Engineering Manager at Clover Health.
Phillip Howes
(Co-Founder)Previously Co-Founder at Shape, Machine Learning Engineer at Gumroad and Research Assistant at the University of Sydney.
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