Fundamental
AI
MachineLearningEngineer(ForwardDeployed)
Neural analysis suggests this role is
optimal for Mid candidates.
“Machine Learning Engineer (Forward Deployed) at Fundamental. Skills: Machine Learning, Data Science, Deployment, Customer Collaboration. Deploy into production use cases. Rigorous head-to-head benchmarking”
What You'll Achieve.
Proving value over legacy baselines; Proving value over net new use cases; Ensuring solutions run securely; Achieve definitive ROI
Industry & Context.
Address complex technical challenges; Identify right business problems
VPC integration, On-prem integration, Air-gapped integration
What They're Looking For.
Must Have
PhD / master in CS / Math / Stats or equivalent deep statistical literacy, 2+ years as a technical individual contributor (data scientist or software engineer), Experience with containerization (Docker), Writing performant APIs (FastAPI/Flask), Master the end-to-end pipeline, Deep understanding of data handling (PySpark, Pandas), Memory optimization, Demonstrated experience optimizing models for a specific business problem, Communication skills
Nice to Have
Experience with PyTorch, Cloud-native ML pipelines (AWS, GCP, Azure), Experience as a Forward Deployed Engineer, Staff Engineer, Machine Learning Engineer, Staff Data Scientist, Industry-based subject matter expertise
What You'll Do.
Deploy into production use cases
Rigorous head-to-head benchmarking
Execute data engineering
Execute feature engineering
Translate operational pain points
Translate data anomalies
Identify right business problems
Handle last mile integration
Align diverse stakeholders
Explain predictions to business users
How You'll Work.
Team & Collaboration
Collaborate with customers; Work in collaboration with research teams; Work in collaboration with product teams; Collaboration with Sales teams; Collaboration with Solution Architect teams
Communication Scope
Translate architectural nuances into clear business value
Full Job Description
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 Fundamental is seeking a Forward Deployed Data Scientist/MLE to facilitate the adoption of NEXUS and collaborate with customers to address complex technical challenges. The Data Scientist is an integral part of our FDE team, which is dedicated to driving the successful deployment of Fundamental products and proving value over legacy baselines or net new use cases. They work hand-in-hand with customers from the Proof of Value stage to post-implementation, ensuring our solutions run securely in the client's production heartbeat. In this role, you’ll manage customer relations involving multiple stakeholders (IT, C-suite, and data science teams) and function as a key bridge, translating field insights into our product roadmap. KEY RESPONSIBILITIES - 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 i
Applying for this Machine Learning Engineer (Forward Deployed) role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Ashby
- Ashby is a fast modern ATS — most applications take under 3 minutes.
- The resume parser is strong; verify parsed experience dates and job titles.
- Custom screening questions are often scored algorithmically — answer completely.
- Location field affects geo-based screening; use your actual metro area.
ANONYMOUS · UNFILTERED
What do employees actually say about Fundamental?
Real rants from real employees. Read before you apply.