Researcher (Generative Models & Simulation)

Maze Impact SA.; London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

A leading company is seeking an experienced Machine Learning Researcher to join their multidisciplinary team in London. The role involves developing large-scale AI models aimed at creating advanced materials. Candidates should have a PhD or relevant experience in machine learning and possess a strong foundation in algorithms, data structures, and performance optimisation.

Benefits

Competitive base salary

Generous equity package

Healthcare coverage

401K / Pension benefits

Flexible paid time off

Regular team offsites

Qualifications

• PhD or 3-5 years experience in machine learning research.
• Strong background in algorithms and code practices.
• Familiarity with machine engineering and performance optimisation.

Responsibilities

• Design and implement machine learning models independently.
• Manage projects and coordinate with cross-functional teams.
• Provide guidance to team members on technical issues.

Skills

Algorithms

Data Structures

Performance Optimisation

Distributed Training

3D Data

Education

PhD

3-5 years experience in machine learning research

Job description

The Role:

We are looking for an experienced Machine Learning Researcher to join our multidisciplinary research team. This is a hybrid role with 2 to 3 days in the office in London, UK or Princeton, NJ

As a Researcher you will be part of our team developing large-scale AI models for the design of new advanced materials, including generative models and AI-accelerated simulation models. An example of some of our work is Orb - the world’s fastest and most accurate model for simulating advanced materials. You’ll be working with a high performing AI team with over 23,000 citations in the area.

Our AI team is part of our broader scientific effort to create new advanced materials, including our wet lab in Princeton, NJ where we synthesise, test and characterise the new materials that will power the energy transition.

Responsibilities:

• Independently design and implement ML models.

• Engineer ML models at scale.

• Independently manage projects and coordinate with cross-functional teams.

• Provide guidance to team members and help troubleshoot technical issues.

Skills & Experience:

• PhD or 3-5 years experience in machine learning research.

• A strong background in algorithms, data structures, and code standards and practices

• Hands on familiarity with engineering machine

• Familiarity with performance optimisation of deep learning models

• Familiarity with distributed training of models and remote computing environments

• An interest in computational approaches to molecule & materials design.

• An interest in working with experimental scientists on discovering breakthrough new materials.

• Bonus: Experience working with graph neural networks, message passing neural networks, or computational methods on graphs, 3D point clouds, or other 3D data. Experience training, evaluating or building with large language models.

What we offer

• Base salary competitive with the AI sector

• Generous equity package

• Healthcare coverage

• 401K / Pension benefits

• Flexible and generous paid time off

• Regular team offsites

We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.