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Staff Research Scientist

Waffle Labs

Boston (MA)

On-site

USD 100,000 - 150,000

Full time

7 days ago
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Job summary

Waffle Labs is seeking a Staff Research Scientist in Boston to lead the development of Large Quantitative Models (LQMs) that enhance machine learning capabilities on structured data. Candidates must have a Ph.D. and deep expertise in statistical modeling, with experience in Python and data science techniques. This role offers a competitive salary, stock options, and comprehensive healthcare benefits.

Benefits

Competitive Salary
Stock Options
100% Healthcare

Qualifications

  • Ph.D. is mandatory.
  • Expertise in statistical modeling is required.
  • Strong proficiency in Python and data science libraries needed.

Responsibilities

  • Lead research on machine learning and numerical data.
  • Design algorithms for structured data imputation.
  • Collaborate with engineers to create production-ready solutions.

Skills

Statistical modeling
Supervised learning
Unsupervised learning
Optimization techniques
Python
Data science ecosystem

Education

Ph.D. in Machine Learning
Operations Research
Applied Mathematics

Tools

NumPy
Pandas
PyTorch

Job description

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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 Staff 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

·Lead research efforts at the intersection of machine learning and numerical data representation, focused on bridging disconnected datasets via latent structure.

·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 engineers and domain experts to translate theory into production-ready solutions.

Requirements

·Ph.D. in Machine Learning, Operations Research, Applied Mathematics, or a related fieldis 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 + 100% Healthcare

Send CV & Cover Letter by email only to contact@waffle-labs.com

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time

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