About BasisBasis 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 join
- 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.
- World 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 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 pay 50% percentile cash and 90% percentile equity because the whole team is all-in, and we want you to be too.
Location: NYC, Flatiron office. In-person team.About the roleYou 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
- Low-ego: The nature of applied ML research has changed, we want people who can accept that many things they might have done and excelled at previously may not be relevant anymore.
- First principles reasoner: Able to break complex concepts down to their fundamental elements and then build from there
- Leader: Knows what needs to get done and how to get there
- Company-builder: Excited to lay the groundwork, technically and culturally, as we rapidly scale
- Eagle-eyed: Spots and recruits engineering talent
- Flexible: Willing and interested to jump across multiple disciplines
- Collaborative: Dedicated to mentoring others and open to being mentored in return.
- Passionate: Genuinely excited about our tech and its impact on accounting, finance, and economy
- Office lover: Prefers shouting across a room over a slack message, seeking full-time in-office in NYC
- All-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