Member of Technical Staff – ML Engineer

Rad Hires

New York, New York

JOB DETAILS
SKILLS
Accounting, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Compensation and Benefits, Computer Science, Data Modeling, Hard Drives, Large-Scale Systems, Machine Learning, Mathematics, Mentoring, Physics, Problem Solving Skills, Python Programming/Scripting Language, Revenue Growth, Startup, Statistics, Team Building, Team Lead/Manager
LOCATION
New York, New York
POSTED
30+ days ago
 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

About the Company

R

Rad Hires