MatNex

About the Company

Matnex is on a mission to discover new materials that significantly reduce the environmental, economical, and social cost of items critical to our society. Our ground-breaking AI software transforms the way new materials are discovered and designed. Using rapid automated processes and advanced quantum calculations, we work with partners to reduce global CO2e emissions and accelerate the discovery of next-gen materials from decades to months.

Listed Jobs

Company Name

MatNex

Job Title

People & Talent

Job Description

Job Title: People & Talent Operator Role Summary: Establish and scale people systems, talent acquisition processes, and organizational culture to support a growing scientific and technological innovation company. Expectations: Experience in talent acquisition (in-house or agency), HR systems management, and organizational development. Open to candidates at varying career stages. Key Responsibilities: Oversee full employee lifecycle with focus on talent acquisition; collaborate with leadership to build HR infrastructure and culture; ensure employee experience aligns with company mission. Required Skills: End-to-end talent acquisition for technical/scientific roles; HRIS/ATS/systems management; organizational capacity-building; culture development. Required Education & Certifications: N/A Education & Certifications: N/A

London, United kingdom

Hybrid

03-10-2025

Company Name

MatNex

Job Title

Machine Learning Scientist

Job Description

**Job Title** Machine Learning Scientist **Role Summary** Design, develop, and deploy advanced machine-learning models, particularly equivariant graph neural networks (GNNs), to accelerate high‑throughput materials simulations and discovery. Work closely with materials scientists to integrate ML into the discovery pipeline and drive product roadmap decisions. **Expectations** - Deliver production‑ready ML models that enhance simulation accuracy and speed. - Collaborate with cross‑functional teams to translate scientific objectives into ML solutions. - Continuously improve model performance and maintain best practices from experimentation to deployment. - Adapt role responsibilities as the ML team expands and new opportunities arise. **Key Responsibilities** - Build scalable, high‑performance ML interatomic potentials (MLIPs) for materials modeling. - Process and analyze large volumes of in‑house simulation data to train and refine foundational models. - Design experiments, evaluate results, and document findings for internal stakeholders. - Deploy models to cloud environments, ensuring they are containerized (e.g., Docker) and production‑grade. - Contribute to product roadmaps and influence future ML initiatives within the organization. - Mentor junior team members and share knowledge across the organization. **Required Skills** - Proven experience building and deploying ML models, ideally GNNs for material property prediction. - Strong programming skills in Python; knowledge of JavaScript, Fortran, or C++ is a plus. - Experience with cloud deployment (AWS, GCP, Azure) and containerization (Docker). - Familiarity with ML lifecycle management, version control, and reproducibility practices. - Ability to translate scientific research into actionable ML solutions. - Excellent communication skills for cross‑disciplinary collaboration. **Required Education & Certifications** - Advanced degree (MSc or PhD) in Machine Learning, Data Science, Materials Science, Physics, Chemistry, or related field. - No specific certifications required, but peer‑reviewed publications in relevant topics are highly valued.

London, United kingdom

On site

05-11-2025

Company Name

MatNex

Job Title

Scientific Software Developer

Job Description

**Job title:** Scientific Software Developer **Role Summary:** Design and develop computational tools for data‑driven materials modelling, enabling high‑throughput calculations and workflow orchestration to predict properties of novel materials. **Expectations:** - Deliver robust, reusable software components that accelerate materials simulation pipelines. - Collaborate with scientists to align software features with research goals. - Optimize code for high‑performance computing environments. **Key Responsibilities:** - Build and extend general‑purpose tools for materials science data analytics. - Design and orchestrate workflows for high‑throughput molecular dynamics, DFT/TDDFT, crystal plasticity, kinetic Monte Carlo, dislocation dynamics, and coarse‑grain simulations. - Interface with HPC resources to maximize simulation efficiency and resource utilisation. - Work with the scientific team to identify platform development targets and prioritize new features. - Maintain code quality through version control, automated testing, and documentation. - Contribute to grant‑writing and project management activities where appropriate. **Required Skills:** - Proficient programming in Python for scientific computing. - Experience with at least one materials simulation method (MD, DFT, kinetic MC, etc.). - Familiarity with HPC technologies (job scheduling, MPI, GPU acceleration). - Knowledge of containerisation (Docker) and cloud deployment. - Ability to write clean, maintainable code and documentation. - Strong analytical and problem‑solving abilities; knowledge of scientific principles in materials science. - Good communication skills for cross‑functional collaboration. **Required Education & Certifications:** - Minimum 2:1 first degree in Physical Science, Computer Science, or related field. - 3+ years of relevant work experience, or a Ph.D. in Physical Science, Data Science, Computer Science, or related field. - No specific certifications required.

London, United kingdom

On site

05-11-2025