About Basis

Join at the leading edge of applied ML, as we deploy agents against real enterprise use cases in the accounting world.

Basis is an AI platform for accounting firms, providing accountants with a team of AI assistants. Accounting teams delegate core workflows to Basis, automating time-consuming, manual work. The team is growing exceptionally quickly (we’ve doubled headcount over the last three months) and we need your help. We’re looking for people who crave ownership and want to move fast.

We are looking to take on an ambitious and exceptional undergraduate senior in the NYC area as an Intern for the school year.

📍 Location: NYC, Flatiron office. In-person team.

Your role

This is a full-year opportunity (through the end of the school year), with an opportunity to grow from there. There aren’t many opportunities to join fast-growing startups in the very early days, and you’ll get to participate in early company-building and take on real responsibility.

• Build

  • Train agents to solve accounting

  • Architect ML evaluation, experimentation, and monitoring systems

  • Build ETL pipelines

  • Engineer ops systems on cutting edge of complex ML workflows

  • Get experience delivering LLM-based B2B products

• Learn

  • You'll be surrounded by a team pushing the bounds of applying LLMs to real world problems. Expect to have to learn a ton both on technical and domain-specific topics

  • We take a real interest in your growth and will help you build skills (we’ve received lots of mentorship along the way too!)

• Wear multiple hats

  • Balance long-term thinking/ smart abstractions with shipping fast and iteratively

• Take ownership

  • Work directly with the core team

  • Oversee projects end-to-end

  • We’ll give you real responsibility from day one and send more your way as you prove yourself

  • We have too much to do and need you to step up; there’s no ceiling here on what you can do

• Become a part of the team

  • Spend time working out of our office with the fully in-person team

Are you the one?

Essentials

• ML Engineering: Understand ML theory/practice and core engineering principles

• Scrappy: Ability to iterate quickly in near-term while planning for long-term

• Flexibility: Willing and interested to jump across multiple disciplines

• Passion for vision: Genuinely excited about our tech and its impact on accounting, finance, and economy

• NYC-based: Seeking in-person environment; working from office 2-5 days a week subject to availability.

• A little something extra You know it when you see it

Bonus points

• Experience with financial workflows: Worked with corporate financial data/products geared to finance professionals

• Product ownership: Experience owning a product or project end-to-end

Additional details

This will be an educational internship, and we hope you will find it rewarding and learn a ton. That said, we plan to pay a small hourly stipend and will cover your lunch when you’re in the office for the day!

There is an opportunity to turn this into a full-time position after graduation, and we’re also happy to help with other full-time opportunities depending on your career aspirations.