Software Engineering Intern, Baseten
2026 Grads Only
$130-160k
+ Equity
3-5 days a week in office
ML application builder for data scientists
Be an early applicant
ML application builder for data scientists
21-100 employees
Be an early applicant
$130-160k
+ Equity
3-5 days a week in office
21-100 employees
Company mission
To make machine learning accessible to every organisation.
Role
Who you are
- 2+ prior internships or research experiences
- Minimum of 3-months commitment required to intern
- Working towards a Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field. Advanced coursework in machine learning, systems, and infrastructure is a plus. Graduating in 2025 or 2026
- A 5-day workweek, during which you will be in-office in San Francisco or New York a minimum of 3 days a week
- Familiarity with building tools for technical audiences
- Proficient coding abilities in one or more popular programming or scripting languages
What the job involves
- As an intern at Baseten, you’ll work on real projects and contribute to systems and products that help our users ship their ML products.
- You won't be off in a corner doing "intern work" – we're moving too fast and have too much to build for that. Instead, you'll receive hands-on support and mentorship to help you grow fast and make a real impact quickly
- Engineering interns can join one of our four teams:
- Core Product: You’ll help build the core Baseten developer workflows that enable users to get value out of ML models. The Core Product team is at the forefront of new product development across a large surface area, including model APIs, training, and dedicated deployment
- Forward Deployed Engineering: You will partner closely with our customers to understand their problems and engineer ML solutions. This role provides a unique front-row view into the opportunities and challenges facing companies implementing ML and AI solutions at scale
- Model Performance: You will implement, refine, and productionize cutting-edge techniques (e.g. quantization, speculative decoding, KV cache reuse, chunked prefill, and LoRA) for ML model inference and infrastructure
- Infrastructure: You'll architect and support development of our ML inference platform that powers production AI applications. You'll make technical decisions for the infrastructure enabling developers to deploy, scale, and monitor ML models with high performance and reliability
- Own small 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
- Fix bugs and resolve customer issues with urgency
- Help drive long-term improvements to reliability of systems and velocity of development
- 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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