About the role
About Fundamental 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.
About
the role In this role, you'll develop, and productize data science capabilities that enhance and expand our product performance on real enterprise use cases - working across a wide range of prediction tasks, data types, and business domains. You'll go deep on hard data science problems, collaborate closely with R&D on product capabilities, and ship production-grade work that has a direct impact on Production use cases. Key
responsibilities Own the reliability, performance, and scalability of Extensions capabilities end to end Design and build distributed workflows that are efficient, reproducible, and observable in production Collaborate closely with Data Scientists on
the team to deeply understand
requirements and translate them into engineering decisions Identify and resolve performance bottlenecks, ensuring Extensions capabilities meet the latency and throughput demands of enterprise deployments Contribute to architectural decisions around how Extensions integrates with the broader NEXUS backend Write clean, well-tested Python code and hold a high bar for code quality across
