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Research Engineer, AI/ML

TabsNew York City, NYEngineering
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Salary
$170K – $235K
Job type
Full-time
Experience
Senior · 1+ yrs
Posted
29 Sept 2026
Status
Open · checked 7d ago

About this role

Tabs seeks a Research Engineer, AI/ML in New York City, NY to develop AI products for finance teams. This full-time position suits engineering professionals with machine learning experience who want to build production systems in an office environment.

Role Overview

Tabs is hiring a Research Engineer, AI/ML to join the team in New York City. The person in this role will handle problems from initial exploration to production by converting unstructured financial data into working products. The position requires working in person five days a week.

Key Responsibilities

Transform messy financial datasets and ambiguous challenges into functional AI products by beginning with simple baselines
Create evaluation frameworks tied to actual user results and improve system performance using error analysis and production feedback
Balance practical considerations regarding model quality, operational costs, latency, reliability, and maintainability
Collaborate with product and engineering groups to deliver AI functionalities that reduce manual tasks for finance professionals

Requirements

Solid foundation in statistics and machine learning to determine appropriate technical solutions
Demonstrated track record of deploying machine learning or artificial intelligence systems completely from data management to production
Ability to operate effectively amidst noisy information, incomplete requirements, and imperfect supervision
Proficiency in Python with the capability to write production software
Bachelor degree in a quantitative field with three or more years of industry experience, a master degree with one or more years of experience, a relevant PhD, or equivalent practical experience

Nice to Have

Experience with TypeScript or modern web applications

Skills and Tools

Python
TypeScript
Classical ML
Embeddings
Retrieval and reranking
Similarity search
Model evaluation
LLM applications
Agentic systems

Salary and Benefits

Salary range of $170K to $235K with equity offerings
Unlimited paid time off
Up to 100 percent employer-covered monthly healthcare premiums for medical, dental, and vision
Provided lunch via Sharebite and dinner for late in-office days
Parental leave of up to 12 weeks
Tax-free commuter and parking benefits
Voluntary insurances including life, hospital, critical illness, and accident
Employee Assistance Program through Rightway
Free One Medical membership
401k plan

About the Company

Tabs provides an artificial intelligence operating system for revenue tailored to modern finance and accounting teams. The organization combines accounting expertise with autonomous agents and applications to manage revenue workflows end to end with built-in controls and human oversight.

How to Apply

Interested candidates should apply directly on the official company careers page.

Skills and tech stack

Questions candidates ask

What is the location of the Research Engineer role?

The position is located in New York City, NY, with collaboration happening in person five days a week.

What is the salary range for this position?

The salary ranges from $170K to $235K with equity offerings.

What experience is required to apply?

Candidates need either a bachelor degree in a quantitative field with 3+ years of experience, a master degree with 1+ year of experience, a relevant PhD, or equivalent practical experience demonstrated through shipped systems or independent research.

What programming languages are required?

Strong Python skills are required, and experience with TypeScript or modern web applications is noted as a plus.

What benefits are provided for full-time employees?

Benefits include unlimited PTO, employer-covered healthcare premiums, lunch and dinner provisions, parental leave up to 12 weeks, commuter benefits, a 401k plan, and additional insurance options.

Ready to apply?

The application is on the official Tabs careers page.

Apply on company site