Basis AI
ML Intern
Basis AI, New York, New York, us, 10261
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.BuildTrain agents to solve accountingArchitect ML evaluation, experimentation, and monitoring systemsBuild ETL pipelinesEngineer ops systems on cutting edge of complex ML workflowsGet experience delivering LLM-based B2B products
LearnYou'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 topicsWe 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 hatsBalance long-term thinking/ smart abstractions with shipping fast and iteratively
Take ownershipWork directly with the core teamOversee projects end-to-endWe'll give you real responsibility from day one and send more your way as you prove yourselfWe 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 teamSpend 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 principlesScrappy:
Ability to iterate quickly in near-term while planning for long-termFlexibility:
Willing and interested to jump across multiple disciplinesPassion for vision : Genuinely excited about our tech and its impact on accounting, finance, and economyNYC-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 itBonus points
Experience with financial workflows : Worked with corporate financial data/products geared to finance professionalsProduct 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.
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.BuildTrain agents to solve accountingArchitect ML evaluation, experimentation, and monitoring systemsBuild ETL pipelinesEngineer ops systems on cutting edge of complex ML workflowsGet experience delivering LLM-based B2B products
LearnYou'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 topicsWe 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 hatsBalance long-term thinking/ smart abstractions with shipping fast and iteratively
Take ownershipWork directly with the core teamOversee projects end-to-endWe'll give you real responsibility from day one and send more your way as you prove yourselfWe 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 teamSpend 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 principlesScrappy:
Ability to iterate quickly in near-term while planning for long-termFlexibility:
Willing and interested to jump across multiple disciplinesPassion for vision : Genuinely excited about our tech and its impact on accounting, finance, and economyNYC-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 itBonus points
Experience with financial workflows : Worked with corporate financial data/products geared to finance professionalsProduct 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.