Forward Deployed Machine Learning Engineer

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🕒 February 26

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Fundamental

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2024

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Fundamental is an enterprise AI company that builds large tabular models (LTMs) such as NEXUS, pre-trained on billions of tables to detect patterns and predict outcomes from structured data. The company offers an enterprise-grade predictive analytics platform that can be deployed with minimal code or integrated deeply with cloud partners like AWS, emphasizing privacy, security, and scalability. Born from academic research and backed by major investors, Fundamental targets large organizations seeking to extract foresight from their databases and deploy predictive models at cloud scale.

📋 Description

• You’ll individually help deploy into production use cases with considerable business impact, moving from "science experiments" to definitive ROI • You’ll work on rigorous head-to-head benchmarking against client baselines (XGBoost, LightGBM), executing the work of data engineering, feature engineering, and validation • You’ll work in collaboration with our research and product teams to translate operational pain points and data anomalies into essential inputs for the Fundamental roadmap • You’ll be involved in technical strategy to identify the right business problems, prevent data leakage, and handle the "last mile" integration (VPC, on-prem, air-gapped) • Your collaboration with the Sales and Solution Architect teams will help align diverse stakeholders and explain "Black Box" predictions to business users

🎯 Requirements

• You hold a PhD / master in CS / Math / Stats or you have equivalent deep statistical literacy • You have 2+ years as a technical individual contributor (data scientist or software engineer) • You have experience with containerization (Docker), orchestration, and writing performant APIs (FastAPI/Flask) • You master the end-to-end pipeline, from framing, pre-processing, ml algorithm and validation strategies • You have a deep understanding of data handling (PySpark, Pandas) and memory optimization • You have demonstrated experience optimizing models for a specific business problem • You hold strong communication skills with an ability to translate architectural nuances into clear business value

🏖️ Benefits

• Competitive compensation with salary and equity • Comprehensive health coverage, including medical, dental, vision, and 401K • Fertility support, as well as 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