Basis AI
Member of Technical Staff - ML & Agent Design (Staff)
Basis AI, New York, New York, us, 10261
About Basis
Basis is an AI platform built to take on accounting & finance workflows end-to-end. We combine ML and accounting expertise to build systems that do real work on behalf of our users and are in production today.
We have hit product market fit, have more demand than we can meet, and are now scaling to see out the long-term vision. We just completed a yet to be announced Series A from tier-1 investors that gives us the capital to go big, and we need to do it fast.
Why joinExtremely fast growth:
We've partnered with some of the largest accounting firms in the world, withrevenue 10x-ing over the last 5 monthsBe part of building a company:
We're scaling the team fast and the business faster, meaning there will always be more responsibility than we have people. No better place to get a ton of responsibility and ownership on day 1World class investors:
While not yet announced, we're backed by tier-1 ML & fintech investors who are aligned on the big vision and have helped scaled many of the generational companies of past two decades. Our investors have backed OpenAI, Ramp, Stripe, etc.In person & interdisciplinary:
We operate on the frontier of what's technically possible. That is why being in-person is a must. We're bringing together the brightest minds from the top engineering, ML, and accounting teams to work together in our NYC office and build production quality agentic systemsHigh risk:
We believe the world is about to change in profound ways. We are building Basis to be on the cutting-edge of that change for a decade to come, and we have an appetite for the risk that comes with that. The journey has just begunCompensation:
We pay 50% percentile cash and 90% percentile equity because the whole team is all-in, and we want you to be tooLocation : NYC, Flatiron office. In-person team.
About the role
As a leader on our Agent Design team, you'll be responsible for designing, building and iterating on our system of agents that end-to-end complete workflows. You will work closely with our ML research team to incorporate the latest research, run experiments, and bring ideas to life. We look for engineers who have experience with and/or a keen interest in LLMs, agent architectures, information theory, and RL.
What we look for
Experienced:
5+ years of developing complex systems (Python preferred); open to exceptional candidates with fewer years and evidence of exceptional abilityFirst principles reasoner:
Able to break complex concepts down to their fundamental elements and then build from thereLeader:
Knows what needs to get done and how to get thereInterdisciplinary
:
Willing and interested to jump across multiple disciplinesCompany-builder:
Excited to lay the groundwork, technically and culturally, as we rapidly scaleEagle-eyed:
Spots and recruits engineering talentCollaborative:
Dedicated to mentoring others and open to being mentored in returnPassionate:
Genuinely excited about our tech and its impact on accounting, finance, and the economyCurious:
Loves to play with new ideas/techOffice lover:
Prefers shouting across a room over a slack message, seeking full-time in-office in NYCAll-in:
This is not a 9-5, we have a massive opportunity ahead of us and are looking to further accelerate our velocity. We are optimizing for the best folks and happy to compensate generously
Basis is an AI platform built to take on accounting & finance workflows end-to-end. We combine ML and accounting expertise to build systems that do real work on behalf of our users and are in production today.
We have hit product market fit, have more demand than we can meet, and are now scaling to see out the long-term vision. We just completed a yet to be announced Series A from tier-1 investors that gives us the capital to go big, and we need to do it fast.
Why joinExtremely fast growth:
We've partnered with some of the largest accounting firms in the world, withrevenue 10x-ing over the last 5 monthsBe part of building a company:
We're scaling the team fast and the business faster, meaning there will always be more responsibility than we have people. No better place to get a ton of responsibility and ownership on day 1World class investors:
While not yet announced, we're backed by tier-1 ML & fintech investors who are aligned on the big vision and have helped scaled many of the generational companies of past two decades. Our investors have backed OpenAI, Ramp, Stripe, etc.In person & interdisciplinary:
We operate on the frontier of what's technically possible. That is why being in-person is a must. We're bringing together the brightest minds from the top engineering, ML, and accounting teams to work together in our NYC office and build production quality agentic systemsHigh risk:
We believe the world is about to change in profound ways. We are building Basis to be on the cutting-edge of that change for a decade to come, and we have an appetite for the risk that comes with that. The journey has just begunCompensation:
We pay 50% percentile cash and 90% percentile equity because the whole team is all-in, and we want you to be tooLocation : NYC, Flatiron office. In-person team.
About the role
As a leader on our Agent Design team, you'll be responsible for designing, building and iterating on our system of agents that end-to-end complete workflows. You will work closely with our ML research team to incorporate the latest research, run experiments, and bring ideas to life. We look for engineers who have experience with and/or a keen interest in LLMs, agent architectures, information theory, and RL.
What we look for
Experienced:
5+ years of developing complex systems (Python preferred); open to exceptional candidates with fewer years and evidence of exceptional abilityFirst principles reasoner:
Able to break complex concepts down to their fundamental elements and then build from thereLeader:
Knows what needs to get done and how to get thereInterdisciplinary
:
Willing and interested to jump across multiple disciplinesCompany-builder:
Excited to lay the groundwork, technically and culturally, as we rapidly scaleEagle-eyed:
Spots and recruits engineering talentCollaborative:
Dedicated to mentoring others and open to being mentored in returnPassionate:
Genuinely excited about our tech and its impact on accounting, finance, and the economyCurious:
Loves to play with new ideas/techOffice lover:
Prefers shouting across a room over a slack message, seeking full-time in-office in NYCAll-in:
This is not a 9-5, we have a massive opportunity ahead of us and are looking to further accelerate our velocity. We are optimizing for the best folks and happy to compensate generously