Data Research Engineer

About FundamentalFundamental is an AI company pioneering the future of enterprise decision-making. Founded by DeepMind alumni, Fundamental has developed NEXUS - the world’s most powerful Large Tabular Model (LTM) - purpose-built for the structured records that actually drive enterprise decisions. Backed by world class investors and trusted by Fortune 100 companies, Fundamental unlocks trillions of dollars of value by giving businesses the Power to Predict.At Fundamental, you’ll work on unprecedented technical challenges in foundation model development and build technology that transforms how the world’s largest companies make decisions. This is your opportunity to be part of a category-defining company from the ground-up. Join the team defining the future of enterprise AI.Key responsibilitiesThe 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, including realistic synthetic data generated from Structured Causal Models and physical / systems-based simulatorsBuilding and maintaining ETL pipelinesDesigning and implementing scalable, reliable data storage solutionsCollaborating with the rest of the research team to maintain a reliable, efficient training pipeline where data is a critical componentCollaborating with the wider engineering and infrastructure teamMust haveExperience with:Identifying good data sources to train and evaluate ML models, including real-world and realistic synthetic data sourcesBringing data from structured and unstructured sources, as well as simulators and causal models, into formats accessible by ML modelsStrong fundamentals of software engineeringStrong knowledge of:PythonPython data processing stack (numpy, pandas, …)Familiarity with:distributed processing (e.g. Ray, Dask Spark, Beam)data storage solutionsBasic ML knowledgeNice to haveContributions to open source ML projectsBSc/MSc/PhD in computer science/machine learningExperience working with tabular data / predictive analyticsExperience working with “classical machine learning and deep learning” (pre-LLM)Experience working with synthetic data generation, Structured Causal Models, or physical / systems-based simulatorsBenefitsCompetitive compensation with salary and equityComprehensive health coverage, including medical, dental, vision, and 401KPaid parental leave for all new parents, inclusive of adoptive and surrogate journeysRelocation support for employees moving to join the team in one of our office locationsA mission-driven, low-ego culture that values diversity of thought, ownership, and bias toward action

Experience with: Identifying good data sources to train and evaluate ML models, including real-world and realistic synthetic data sources Bringing data from structured and unstructured sources, as well as simulators and causal models, 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) Experience working with synthetic data generation, Structured Causal Models, or physical / systems-based simulators

Competitive compensation with salary and equity Comprehensive health coverage, including medical, dental, vision, and 401K Paid parental leave for all new parents, inclusive of adoptive and surrogate journeys Relocation support for employees moving to join the team in one of our office locations A mission-driven, low-ego culture that values diversity of thought, ownership, and bias toward action

Fundamental is an AI company pioneering the future of enterprise decision-making. Founded by DeepMind alumni, Fundamental has developed NEXUS - the world’s most powerful Large Tabular Model (LTM) - purpose-built for the structured records that actually drive enterprise decisions. Backed by world class investors and trusted by Fortune 100 companies, Fundamental unlocks trillions of dollars of value by giving businesses the Power to Predict. At Fundamental, you’ll work on unprecedented technical challenges in foundation model development and build technology that transforms how the world’s largest companies make decisions. This is your opportunity to be part of a category-defining company from the ground-up. Join the team defining the future of enterprise AI.