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ML Researcher (remote)

FundamentalEuropeResearch
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Posted
5 Oct 2026
Status
Open · checked 7d ago

About this role

Based in Europe with a remote setup, Fundamental seeks an ML Researcher to build enterprise decision-making models. This position suits a machine learning professional who wants to focus on foundation model development and structured business data.

Role Overview

Fundamental operates an artificial intelligence research lab creating enterprise decision systems, highlighted by its flagship Large Tabular Model called NEXUS. The organization has secured $275 million in financial backing from prominent investors and serves Fortune 100 clients. Team members tackle complex engineering problems related to foundation models and enterprise automation.

Key Responsibilities

Participate in brainstorming, architecture design, execution, and assessment of new machine learning models for practical deployment
Oversee complete model lifecycles, focusing on overall performance metrics, novel training approaches, and evaluation frameworks
Create methods supporting efficient training procedures and operational inference
Write reliable research code enabling quick prototyping and iteration for the entire research division

Requirements

Familiarity with the complete machine learning research process
Solid background in software engineering principles
Proficiency in Python alongside related machine learning frameworks
Practical history covering artificial intelligence development lifecycles and infrastructure tools
Background in designing novel algorithms, scaling training regimes, and utilizing distributed setups with GPUs or TPUs
Understanding of traditional machine learning algorithms and deep learning methodologies

Nice to Have

Background in architecture research, model distillation, evaluation protocols, code generation, or large language models
History with foundation models
Academic papers published at artificial intelligence conferences
Contributions made to open-source machine learning initiatives
Experience managing tabular records or predictive analytics systems
Strong ranking on Kaggle
Academic degree in computer science or machine learning

Skills and Tools

Python
Machine learning frameworks
ML infrastructure tools
GPUs
TPUs
Distributed training systems

Salary and Benefits

Competitive financial compensation featuring salary and equity options
Comprehensive medical coverage for employees and dependents
Paid parental leave applicable to all new parents, including adoption and surrogacy
Relocation assistance for staff members moving to company office locations

About the Company

Fundamental focuses on enterprise artificial intelligence, developing Large Tabular Models designed for structured business records. The company maintains financial backing from major investors and serves large corporate clients within a mission-oriented, collaborative environment.

How to Apply

Interested candidates should apply directly on the official company careers page.

Skills and tech stack

Questions candidates ask

Where is the ML Researcher position located?

The role is based in Europe with remote working arrangements available.

What is the primary product of Fundamental?

The flagship product is NEXUS, described as a Large Tabular Model built for structured business records.

What technical background is required for applicants?

Applicants need a strong foundation in software engineering, knowledge of Python and machine learning frameworks, experience with the full AI development lifecycle, and familiarity with distributed training on GPUs or TPUs.

Are there preferred qualifications for this role?

Preferred qualifications include expertise in architecture research, model distillation, evaluation, code generation, large language models, published research, open source contributions, tabular data experience, a high Kaggle rank, or a relevant degree.

What benefits are provided to employees?

Benefits include competitive compensation with salary and equity, health coverage for employees and dependents, paid parental leave, relocation support, and a mission-driven culture.

Ready to apply?

The application is on the official Fundamental careers page.

Apply on company site