Member of Technical Staff - Research

About BasisBasis 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 joinWorld 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 listExtremely 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 1In 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 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 tooLocation: 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 forExperienced: 5+ years of performing ML related research work; open to exceptional candidates with fewer years and evidence of exceptional abilityLow-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 anymoreFirst 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 thereCompany-builder: Excited to lay the groundwork, technically and culturally, as we rapidly scaleEagle-eyed: Spots and recruits engineering talentFlexible: Willing and interested to jump across multiple disciplinesCollaborative: Dedicated to mentoring others and open to being mentored in returnPassionate: Genuinely excited about our tech and its impact on accounting, finance, and economyOffice 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 generouslyIn 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.

Created: 2025-02-20