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