Full-Time Machine Learning Scientist

At Matnex, our mission is to accelerate the change to net-zero through the disruption of materials discovery and production.

As a Machine Learning Scientist, you will join a team focused on the intersection of ML and Material Science.
Our ambition is to apply ML across our materials discovery platform to make the most substantial impact possible.

As the ML team grows, we are happy to consider candidates from all levels. Even if you do not think you are an exact fit for the role, but are passionate about our mission and work we’d still like to see your application!

As a part of this role, you’ll get to:

• Contribute to the design and implementation of state-of-the-art scaleable and performant MLIPs suitable for high-throughput materials simulations, for example using equivariant GNNs
• Collaborate with our science team to accelerate our materials discovery pipeline using ML, more experienced candidates could also be influencing product roadmaps
• Interface with large volumes of simulation data (generated in-house) to build and refine foundational models
• Apply best practices throughout the model lifecycle, from experimentation to deployment
• Shape the role and take on broader responsibilities based on interest and experience

What we think you will need to be successful:

We are looking for talented and, more importantly, passionate individuals who are motivated by the application of science and innovation to achieve net-zero materials.

• Experience building machine-learning models to accelerate materials simulations (e.g. creating a GNN for property prediction)
• Experience building and deploying ML products in a team

Nice to haves:

• Experience deploying models in a cloud environment
• Understanding of containerisation technology (e.g. Docker)
• Peer-reviewed publications on relevant topics
• Ability in JavaScript, Fortran, or C++

Process:

1. A 30 minute video call with Julia, our People Associate, to learn a bit more about you and what you are looking for!
2. A 45 minute video call with our technical team to discuss a relevant topic in order to help us understand how you can make an impact.
3. A 90 minute in person meeting which will include a whiteboard exercise to break down a Machine Learning problem with the technical team, as well as an opportunity to meet with our wider team to better understand how we can work together.

What is the last date for applying to the job?

Which countries are accepted for this remote job?