About the job
About Fundamental
At the forefront of AI innovation, Fundamental is revolutionizing enterprise decision-making. Founded by alumni from DeepMind, we have engineered NEXUS – the most advanced Large Tabular Model (LTM) designed specifically for the structured data that drives critical business decisions. Supported by top-tier investors and trusted by Fortune 100 firms, Fundamental is unlocking unprecedented value, empowering businesses with the Power to Predict.
As a team member at Fundamental, you will tackle groundbreaking technical challenges in foundation model development while building solutions that redefine decision-making for the world's largest enterprises. This is your chance to contribute to a pioneering company from its inception and help shape the future of enterprise AI.
About the Role
We are on the hunt for a Forward Deployed Machine Learning Engineer who will facilitate the implementation of NEXUS and collaborate closely with clients to solve complex technical problems.
As a vital member of our Forward Deployed Engineering (FDE) team, you will drive the successful deployment of our products, demonstrating their value against legacy systems and new use cases. You will work directly with clients from the Proof of Value stage through to post-implementation, ensuring our solutions operate seamlessly within their production environments.
In this role, you will manage relationships with multiple stakeholders, including IT departments, C-suite executives, and data science teams, acting as a key intermediary to translate field insights into actionable inputs for our product roadmap.
Key Responsibilities
Deploy solutions into production that deliver significant business impact, transitioning from experimental phases to clear ROI.
Conduct thorough benchmarking against existing client solutions (like XGBoost and LightGBM), undertaking data engineering, feature engineering, and validation tasks.
Collaborate with our research and product teams to convert operational challenges and data discrepancies into critical inputs for our product strategy.
Contribute to technical strategy by identifying relevant business problems, preventing data leakage, and managing last-mile integrations (VPC, on-premises, air-gapped environments).
Work alongside Sales and Solution Architect teams to align diverse stakeholders and effectively communicate predictions to business users.

