About Basis Basis equips accountants with a team of AI agents to take on real workflows.

We have hit product market fit, have more demand than we can meet, and just raised $34m to scale at a speed that meets this moment.

Built in New York City. Read more about Basis here.

Why join

• World class investors: We're backed by Keith Rabois from Khosla Ventures alongside Nat Friedman, Daniel Gross, Aaron Levie, Adam D'angelo, Amjad Masad, Jack Altman, Jeff Dean, Larry Summers, Noam Brown and many leaders from the ML and fintech community. Check out our announcement for an expansive list
• Extremely fast growth: We’ve partnered with some of the largest accounting firms in the world, with revenue 10x-ing over the last 5 months
• Be 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 1
• 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 systems
• High 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 begun
• Compensation: We aim to pay competitively for cash compensation and well above market for equity compensation because the whole team is all-in, and we want you to be too

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

About The Role You will be responsible for owning our applied research efforts on agent abstractions, model orchestration, post-training techniques (fine-tuning, RL etc.), prompt optimization, etc.

You'll work closely with the agent design and world modeling teams to iterate and improve on our multi-agent architectures.

What We Look For

• Experienced: 5+ years of performing ML related research work; open to exceptional candidates with fewer years and evidence of exceptional ability

In accordance with New York State regulations, the salary range for this position is $100,000–$300,000. This range represents our broad compensation philosophy and covers various responsibility and experience levels. Additionally, all employees are eligible to participate in our equity plan and benefits program. We are committed to meritocratic and competitive compensation.