Data Research Engineer
Fundamental
Posted: January 30, 2026
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Quick Summary
Fundamental is an AI company building a foundation model for tabular data. Our research team includes world-class AI experts from DeepMind, INRIA and Ecole Polytechnique. We are rapidly growing and expanding our engineering team to push the boundaries of what's possible in tabular AI.
Required Skills
Job Description
About Fundamental
Fundamental is an AI company building a foundation model for tabular data. Fundamental's groundbreaking technology reveals the hidden language of tabular data to unlock the patterns that give enterprises the power to predict everything.
Our research team includes world-class AI experts from DeepMind, INRIA and Ecole Polytechnique. We are rapidly growing and expanding our engineering team to push the boundaries of what's possible in tabular AI.
Key Responsibilities
The greatest research is done through solid engineering. As part of the research team, you will contribute to development of breakthrough machine learning models by working on one of the most crucial aspects of ML model training: data. The main responsibilities of this role are:
Helping to identify, characterize and evaluate data sources
Building and maintaining ETL pipelines
Designing and implementing scalable, reliable data storage solutions
Collaborating with the rest of the research team to maintain a reliable, efficient training pipeline where data is a critical component
Collaborating with the wider engineering and infrastructure team
Required Qualifications
Experience with:
Identifying good data sources to train and evaluate ML models
Bringing data from structured and unstructured sources into formats accessible by ML models
Strong fundamentals of software engineering
Strong knowledge of:
Python
Python data processing stack (numpy, pandas, …)
Familiarity with:
distributed processing (e.g. Ray, Dask Spark, Beam)
data storage solutions
Basic ML knowledge
Nice to have
Contributions to open source ML projects
BSc/MSc/PhD in computer science/machine learning
Experience working with tabular data / predictive analytics
Experience working with "classical machine learning and deep learning" (pre-LLM)
We are not expecting you to have all the experience listed in the above section, it is simply a non exhaustive list of additional experience that we really value which will be relevant/well aligned with your future role.
Perks
Access to cutting-edge research tools and resources to grow alongside our world-class team
Medical, dental, and vision insurance
Be part of the founding team at one of the most promising AI startups, revolutionizing an entire category