What are the responsibilities and job description for the Member of Technical Staff - Evals position at Basis AI?
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 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, withrevenue 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
AI systems require data in order to be monitored and evaluated and to be improved. The more agentic the system, the more sophisticated the system required to guarantee performance and continuously improve.
You will own these systems. You will own data and evaluations across the platform, including overseeing data labeling strategy, synthetic data generation, experiment generation, etc.
You will work closely with our research team to measure performance and with engineering to build out automated systems.
Your systems will directly power our agents to complete complex accounting workflows, and the systems you build will allow us to tackle ever-increasing complexity. If building the fueling system for our AI agents excites you, apply to join us.
We look for strong ability to manipulate data and run experiments, along with exceptional ability to understand business context, own projects, and communicate across disciplines. Experience with ML is a plus. PM experience is a plus, but not required by any means.
What we look for
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.
Salary : $100,000 - $300,000
