Strong across more than one of these areas? We will match you to the problem where you can do your best work.

At Infinity Loop, we build Negotiation Intelligence that connects contracts, proposals, supplier context and market data to help procurement teams identify leverage and develop commercial negotiation strategies. Reliable data and traceable evidence are central to the product we’re building.

We are growing the team behind Infinity Loop's intelligence layer: pulling facts from raw contracts, benchmarking them against real market data, and building defensible analysis on top. We hire engineers and scientists across five areas.

What would you build?

• AI that makes sense of contracts. Turn messy documents into structured data, with each fact traced to its source.
• Better ways to compare prices. Defensible pricing and market comparison grounded in real data.
• A platform that holds up. Reliable, observable, cost-efficient pipelines and evaluation tooling.
• Tools that check AI's work. Calibrated confidence, anomaly detection, and faster human review.
• Research that ships. Internal benchmarks, evaluation, and new extraction and retrieval methods.

Bring your strengths. You don’t need all of these.

We hire for real strength in one or more of these, and the ability to grow into the rest.

• You are a quantitative engineer or scientist with more than one of the backgrounds above.
• You care about getting the right answer and getting it reliably.
• You want early ownership on a small team building something hard.

What we look for in everyone

We look for strong analytical thinking, careful execution and a willingness to learn across disciplines. You should be able to reason with data and uncertainty, explain your decisions, and take ownership of your work from an initial idea through implementation.

THE DETAILS

Role: Research and Analytics Engineer / Scientist

Level: Open. We place you on the track that fits your strengths.

Location: New York City · Hybrid · Full-time

Salary: $140,000 - $200,000 per year

Benefits: Medical, dental, and vision coverage, plus paid time off

Eligibility: US work authorization required. Open to candidates with OPT/CPT.

Strong negotiation analysis depends on reliable facts. You build the systems that extract them and show where they came from.

At Infinity Loop, we build Negotiation Intelligence that connects contracts, proposals, supplier context and market data to help procurement teams identify leverage and develop commercial negotiation strategies. Reliable data and traceable evidence are central to the product we’re building.

Our customers send us piles of contracts. You own how those documents become trustworthy structured data. Benchmarking, analysis, and reporting all read from the fact store you build. Right now the focus is bulk extraction: total contract value, payment terms, rebates, and pricing line items, pulled from large document dumps, with every fact traced to its place in the source.

What would you build?

• Extraction at volume. Pull facts from raw document dumps at scale, with the source attached to every one.
• Data that lines up. Normalize vendors and entities, categorize spend, and attach market context.
• The right evidence for each fact. Build pricing extraction and the retrieval layer behind it.
• Tools the team builds on. Grow a reusable library for extraction and analysis.
• Fast human checks. Let a reviewer confirm an extraction without reading the whole contract.

Bring your strengths. You don’t need all of these.

We hire for real strength in one or more of these, and the ability to grow into the rest.

• Document AI: OCR, layout parsing, table extraction, or LLM extraction from messy real documents.
• Data and pipeline engineering that handles thousands of documents reliably, not just a notebook demo.
• Information retrieval or search: embeddings, ranking, RAG-style pipelines.
• A habit of measuring extraction quality instead of eyeballing it.

What we look for in everyone

We look for strong analytical thinking, careful execution and a willingness to learn across disciplines. You should be able to reason with data and uncertainty, explain your decisions, and take ownership of your work from an initial idea through implementation.

THE DETAILS

Role: Quantitative Engineer, Document AI and Extraction

Level: Open to junior and senior candidates. Responsibilities and scope will reflect your experience.

Location: New York City · Hybrid · Full-time

Salary: $140,000 - $200,000 per year

Benefits: Medical, dental, and vision coverage, plus paid time off

Eligibility: US work authorization required. Open to candidates with OPT/CPT.

Research only matters if it runs every day, at volume, at a cost that makes sense. You build the foundation that makes that true.

At Infinity Loop, we build Negotiation Intelligence that connects contracts, proposals, supplier context and market data to help procurement teams identify leverage and develop commercial negotiation strategies. Reliable data and traceable evidence are central to the product we’re building.

You build and improve the pipelines the product depends on, keeping them reliable, fast and cost-efficient as volume grows. You make the platform observable and resilient, and build the tools that let the team measure cost and quality on every run.

What would you build?

• Pipelines you can trust. Build monitoring and alerts that help the team diagnose failures, and strengthen safeguards against silent errors.
• Scale for bulk work. Batching, retries, and queueing for large workloads.
• Cost you can see. Meter model spend per project and use case, and drive down the cost of each run so the team can iterate more.
• Model infrastructure. Self-hosted and multi-provider models, plus the evaluation and replay harness research depends on.

Bring your strengths. You don’t need all of these.

We hire for real strength in one or more of these, and the ability to grow into the rest.

• Backend and infrastructure engineering with a reliability mindset: cloud, containers, queues, CI/CD.
• MLOps: model serving, evaluation infrastructure, experiment tracking, cost tracking.
• Experience improving system reliability and managing operating costs.
• Comfort thinking about cost and accuracy tradeoffs in numbers.

What we look for in everyone

We look for strong analytical thinking, careful execution and a willingness to learn across disciplines. You should be able to reason with data and uncertainty, explain your decisions, and take ownership of your work from an initial idea through implementation.

THE DETAILS

Role: Quantitative Engineer, Platform and MLOps

Level: Open to junior and senior candidates. Responsibilities and scope will reflect your experience.

Location: New York City · Hybrid · Full-time

Salary: $140,000 - $200,000 per year

Benefits: Medical, dental, and vision coverage, plus paid time off

Eligibility: US work authorization required. Open to candidates with OPT/CPT.

Is this price fair? You build the answer a buyer can defend across the table, with the evidence behind it.

At Infinity Loop, we build Negotiation Intelligence that connects contracts, proposals, supplier context and market data to help procurement teams identify leverage and develop commercial negotiation strategies. Reliable data and traceable evidence are central to the product we’re building.

You own the analysis a customer takes into a negotiation. The near-term focus is pricing and market benchmarking: developing relevant comparisons and defensible should-cost estimates, with evidence behind each result. There is a lot of open scientific work here. You propose the problems worth solving, then solve them.

What would you build?

• Market benchmarks. Pricing datasets, the comparison logic, and methods tuned to each spend category.
• A benchmarking playbook. Combine should-cost estimates and relevant market comparisons to inform negotiation strategy.
• Advice beyond the number. Category and tail-spend analysis, and recommendations on what to do next.
• Repeatable methods. Turn past analyst work into a general method anyone can rerun.

Bring your strengths. You don’t need all of these.

We hire for real strength in one or more of these, and the ability to grow into the rest.

• Quantitative modeling and applied statistics: you can defend a number with evidence someone else can audit.
• Pricing, benchmarking, valuation, or a similar quantitative field.
• Applied ML for analysis and ranking problems.
• Enough engineering to prototype your own analysis, and curiosity about procurement.

What we look for in everyone

We look for strong analytical thinking, careful execution and a willingness to learn across disciplines. You should be able to reason with data and uncertainty, explain your decisions, and take ownership of your work from an initial idea through implementation.

THE DETAILS

Role: Applied Scientist / Quantitative Analyst, Pricing and Benchmarking

Level: Mid to senior.

Location: New York City · Hybrid · Full-time

Salary: $140,000 - $200,000 per year

Benefits: Medical, dental, and vision coverage, plus paid time off

Eligibility: US work authorization required. Open to candidates with OPT/CPT.