Cusp AI Ltd logo

Applied ML Researcher (Force Fields and Simulation)

Job Overview

Location

Amsterdam, NL

Job Type

Full-time

Category

Data Science

Date Posted

May 8, 2026

Full Job Description

đź“‹ Description

  • • As an Applied ML Researcher (Force Fields and Simulation) at Cusp AI Ltd, you will advance molecular simulation capabilities by developing next-generation machine learning force fields and the infrastructure that powers them, directly enabling the discovery of breakthrough materials for energy, clean water, carbon capture, and future computing.
  • • Your day-to-day work will involve training, fine-tuning, and distilling ML force fields; integrating models into high-performance simulators; building distributed training and inference systems using Ray; developing active learning loops between simulation and data generation; and collaborating with computational chemists on DFT data validation and interface design for domain scientists.
  • • You will join a diverse, innovative team at the intersection of AI and materials science, working alongside world-leading researchers in AI, chemistry, and engineering to solve some of humanity’s hardest challenges through scalable, production-ready computational tools.
  • • In this role, you will deepen your expertise in ML systems for scientific simulation, gain hands-on experience deploying models at scale, contribute to open and internal research impact, and help shape the future of AI-driven materials discovery with real-world applications in sustainability and technology.

🎯 Requirements

  • • PhD or comparable professional experience in a quantitative field such as Computer Science, Physics, Applied Mathematics, Computational Science, or Machine Learning
  • • Exceptional coding skills with strong command of modern software engineering practices
  • • Deep production or research experience with distributed machine learning systems
  • • Demonstrated technical excellence in building high-quality, performant systems beyond theoretical work
  • • Genuine interest in applying AI to materials science and chemistry

🏖️ Benefits

  • • Competitive salary plus equity package
  • • 28 days holiday
  • • Professional development budget for scientific conferences and technical training
  • • Opportunity to work at the forefront of AI-driven scientific discovery with world-class researchers
  • • Collaborative environment bridging AI research, computational chemistry, and experimental science

Skills & Technologies

Kubernetes
Onsite
Degree Required

Ready to Apply?

You will be redirected to an external site to apply.

Cusp AI Ltd logo
Cusp AI Ltd
Visit Website

About Cusp AI Ltd

Cusp AI is a Cambridge-based startup applying generative artificial intelligence and deep learning to the discovery and design of next-generation materials for carbon capture, hydrogen storage and other clean-energy applications. The company combines physics-informed models, molecular simulation and high-throughput cloud computing to predict and optimize porous frameworks such as metal-organic frameworks and covalent organic frameworks, dramatically reducing the time and cost needed to identify candidates for scalable carbon dioxide removal. Founded in 2023 by ex-Google researchers, Cusp AI collaborates with national laboratories and industrial partners to translate AI-generated molecules into pilot-scale demonstrations.

Get more remote jobs like this

Subscribe to the weekly newsletter for similar remote roles and curated hiring updates.

Newsletter

Weekly remote jobs and featured talent.

No spam. Only curated remote roles and product updates. You can unsubscribe anytime.

Similar Opportunities

Expired
Remote
Full-time
Expired Dec 8, 2025
Remote
Degree Required

8 months ago

Apply
Clay Labs Inc. logo

Clay Labs Inc.

New York
Full-time
Expires Jul 20, 2026
Python
JavaScript
TypeScript
+2 more

17 days ago

Apply
Expires soon
Remote - US
Full-time
Expires Jun 13, 2026 (Soon)
Python
Java
Scala
+6 more

2 months ago

Apply
Expired
London
Full-time
Expired Jan 4, 2026
Go
Product Management
Senior
+1 more

7 months ago

Apply