Job Description

 Member of Technical Staff – ML Engineering

Note: This role is 100% on-site in NYC

About the Company

This fast-growing NYC-based AI startup is revolutionizing the accounting industry by building a team of AI agents that execute real-world accounting workflows. Founded in 2023 and headquartered in the Flatiron district, the company has already:

• Raised $34M from top-tier investors including leaders from the ML and fintech sectors.
• Achieved product-market fit with demand exceeding current capacity.
• Experienced 10x revenue growth in just the past 5 months.

They operate on the cutting edge of what’s technically possible, assembling top minds from ML, engineering, and accounting. Joining now means becoming an early member of a small, high-ownership team shaping the future of AI in enterprise systems.

What You’ll Do

As a Member of Technical Staff on the World Modeling team, you will:

• Design and build the “world” that the company’s AI agents interact with, modeling interconnected systems and abstractions.
• Develop frameworks and coding structures that enable AI agents to understand and navigate complex real-world workflows (e.g., accounting tasks).
• Define rules, constraints, and context in which AI agents operate.
• Collaborate with top engineers, ML researchers, and domain experts in an interdisciplinary team.
• Take ownership of projects end-to-end, from design to production deployment.
• Mentor and be mentored by other engineers as the team scales rapidly.

Role Requirements

Experience & Skills

• 4–8 years of experience building complex systems (Python preferred).
• Strong background in Machine Learning fundamentals, with a first-principles mindset.
• Deep experience modeling interconnected systems and reasoning about trade-offs and constraints.
• Previous experience as an early technical member at a fast-paced startup.
• Degree in Computer Science, Physics, Math, or Statistics (preferably from a top university).

Attributes

• Intense curiosity and drive to solve hard, complex problems.
• Thrives in a high-ownership, high-speed startup environment.
• Eager to work in-person 5 days/week with a cross-disciplinary team.
• Dedicated to mentoring and collaboration.

Compensation & Benefits

• Base Salary: $150K – $300K
• Equity: Highly competitive, well above market
• Comprehensive health, dental, and vision benefits
• Visa sponsorship available (all types)
• Opportunity to build on the cutting edge of AI alongside world-class colleagues

Tech Stack

• Languages: Python (primary), with potential for other languages as needed
• Focus Areas: Machine Learning, agentic systems, large-scale system modeling, data infrastructure

Interview Process

1. Intro Call
2. Initial Screen
3. Technical Interview 1
4. Technical Interview 2
5. Onsite Interview (3–4 hours)
6. Offer
7. Hiring

Number of Vacancies

5 positions available