Join a fast-moving AI team to develop AI products that streamline finance workflows.
Posted by employer 2 days ago
First seen on Joblaze 1 day ago
Last verified on the company career page 1 day ago
Skills & Technologies
What you'll build
- Turn messy financial data into working AI products
- Build evaluations that reflect real user outcomes
- Make practical tradeoffs across model quality and cost
- Partner closely with product and engineering
- Iterate based on real usage feedback
Must have
- Strong statistical and machine learning fundamentals
- Experience shipping ML or AI systems end-to-end
- Strong Python skills
Nice to have
- TypeScript or modern web application experience
- Experience with classical ML, embeddings, and LLM applications
AI in the day-to-day
Tabs applies accounting logic and executes workflows with built-in controls and human oversight.
Requirements
- Experience
- 3+ years
- Education
- Bachelor's degree
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In this role, the Research Engineer will tackle complex financial data challenges, transforming them into functional AI products while collaborating closely with product and engineering teams. Key skills include a strong foundation in machine learning, proficiency in Python, and experience with various AI methodologies, including classical ML and LLM applications. This position is well-suited for candidates with a quantitative background and practical experience in deploying AI systems. The small team environment encourages collaboration and iterative learning, allowing for significant input in shaping projects.
Joblaze insights
Quick facts
- Is the Research Engineer, AI/ML role remote?
- No — this is an on-site role in New York City, NY, United States.
- How much experience is required?
- At least 3 years of relevant experience for this Research Engineer, AI/ML role.
- Where is the role based?
- Tabs is hiring for this position in New York City, NY, United States.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI, LLM, Machine Learning, Python, TypeScript.
- What seniority level is this role?
- Tabs targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Research Engineer, AI/ML role at Tabs.
From the original posting
The Job
You’ll work on a fast-moving AI team, owning problems from initial exploration through production.
Turn messy financial data and ambiguous problems into working AI products, starting with simple baselines and adding complexity only when it earns its keep
Build evaluations that reflect real user outcomes, then use error analysis, ablations, and production feedback to make the system better
Make practical tradeoffs across model quality, cost, latency, determinism, reliability, and maintainability
Partner closely with product and engineering to build AI features that take real work off finance teams’ plates
What You Bring
Strong statistical and machine learning fundamentals, with good judgment about when the answer is classical ML, an LLM, agents, or something in between
Experience shipping ML or AI systems end-to-end, from data and evaluation through production
Comfort making progress with noisy data, weak labels, incomplete specifications, and imperfect supervision
Experience across several of: classical ML, embeddings, retrieval and reranking, similarity search, model evaluation, LLM applications, and agentic systems
Strong Python skills and the ability to contribute to production software; TypeScript or modern web application experience is a plus
Experience and education
We welcome a range of backgrounds. Successful candidates will typically have one of the following:
A bachelor’s degree in a relevant quantitative field plus 3+ years of relevant industry or applied research experience
A relevant master’s degree plus 1+ year of relevant industry or applied research experience
A relevant PhD; doctoral research counts as relevant experience, with 3 years of substantive doctoral research considered equivalent to the experience above
Equivalent practical experience demonstrated through shipped systems, independent research, open-source work, or another nontraditional path
How We Work
We’re a small team, so everyone has a hand in deciding what to build and making it work in the real world.
We ship, learn from real usage, and iterate
We make assumptions explicit, follow the evidence, and communicate tradeoffs clearly
We stick with hard problems and welcome better ideas, regardless of where they come from
We help where the team needs us, even when it falls outside our immediate scope
We collaborate closely in person five days a week
No one gets extra points for making the solution more complicated than the problem.
Even if you don’t meet every qualification, we encourage you to apply. We care most about curiosity, craft, judgment, and drive.
Perks and Benefits (Full-time Employees)
Competitive compensation and equity
Unlimited PTO
Parental leave up to 12 weeks
Tax free commuter and parking benefits
Voluntary insurances (Life, Hospital, Critical Illness, Accident)
Employee Assistance Program (Rightway)
Free One Medical Membership
401k
Standard company text repeated across Tabs's postings is omitted here.