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Senior Research Scientist

Waffle Labs

Boston, MAFull-timePosted 3w agoStill listed 2w ago

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At a glance

Compensation
No compensation found
Location
Boston, MA
Schedule
Full-time
Work Authorization
US work authorization required

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Requirements

Credentials this posting asks for.

Master's degree

Job overview

Waffle Labs is hiring a Senior Research Scientist. Waffle Labs is building foundation models for numbers, developing Large Quantitative Models (LQMs) that connect and reason across heterogeneous, sparse datasets such as spreadsheets, time series, and clinical tables. The Senior Research Scientist will define the core technical path of LQMs, design novel algorithms and frameworks, and collaborate with researchers and engineers to turn research into production‑ready systems.

Key focus areas include Co-lead research at the intersection of machine learning and numerical data, bridging disconnected datasets via latent structure., Help design and implement algorithms for structured data imputation, missing value reasoning, and robust inference from sparse observations., and Prototype, validate, and iterate on scalable systems in Python for real‑world deployment..

Important skills include Machine Learning, Statistical Modeling, Supervised Learning, Unsupervised Learning, Pandas (Python Package), and Collaboration.

Skills & qualifications

RequiredNice to have

Skills

Machine LearningStatistical ModelingSupervised LearningUnsupervised LearningPandas (Python Package)CollaborationPythonNumPyPyTorchOptimization TechniquesMissing Data ImputationBayesian MethodsProbabilistic Programming FrameworksCommunicationIntellectual Curiosity

Qualifications

Masters in Machine Learning or Related FieldAuthorized to Work in United StatesBoston Based

Benefits

Medical Insurance
Dental Insurance
Vision Insurance

Full job description

Position : Senior Research Scientist

Location: Boston, MA (in-person)

Team: Research

Type: Full-Time

At Waffle Labs, we’re building the foundation models for numbers. While large language models have transformed how we understand unstructured text, the vast world of numerical data—spreadsheets, time series, clinical tables—remains fragmented and underutilized. We’re developing Large Quantitative Models (LQMs): AI systems designed to connect and reason across heterogeneous, sparse datasets to unlock insights in domains ranging from healthcare to supply chains.

We’re looking for a Senior Research Scientist to join our Boston-based team. In this role, you’ll help define the core technical path of LQMs, designing novel algorithms and frameworks that push the frontier of machine learning on structured data. You’ll work closely with other researchers and engineers to turn research into production-ready systems, shaping both our theory and our product.

Responsibilities

  • Co-lead the research efforts at the intersection of machine learning and numerical data representation, focused on bridging disconnected datasets via latent structure.

  • Help design and implement novel algorithms for structured data imputation, missing value reasoning, and robust inference from sparse observations.

  • Prototype, validate, and iterate on scalable systems in Python for real-world deployment.

  • Collaborate closely with Chief Data Scientist, Staff Research Scientist as well as engineers and domain experts to translate theory into production-ready solutions.

Requirements

  • Masters in Machine Learning, Operations Research, Applied Mathematics, or a related field is a must .

  • Deep expertise in statistical modeling, supervised/unsupervised learning, and optimization techniques.

  • Expert-level proficiency in Python and the data science ecosystem (NumPy, Pandas, PyTorch, etc.).

  • Experience with missing data imputation, Bayesian methods, or probabilistic programming frameworks is a strong plus.

  • Demonstrated ability to drive research agendas and deliver technical innovations independently.

  • Strong communication and collaboration skills.

  • Highly motivated and intellectually curious.

  • Must be authorized to work in the United States, no visa sponsorship

  • Boston-based. This is an in-person position!

Competitive Salary + Stock Options + 100% Healthcare, dental, vision

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