Machine Learning Scientist - Material Simulation

November 10

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Materials Nexus

WebsiteLinkedInAll Job Openings

Machine Learning • AI • Physics • Materials

11 - 50 employees

🔬 Science

🏢 Enterprise

💰 Seed Round on 2023-07

Description

• At Materials Nexus, our mission is accelerate the change to net-zero through the disruption of materials discovery and production. • As Machine Learning Scientist you will play a role in collaborating with the wider ML team so our scientific platform can expand it’s capabilities at an even faster rate. • Build and scale state-of-the-art ML models of materials, accelerating discovery of new materials while ensuring improved accuracy and reliability. • Collaborate with our science team to identify opportunities to enhance our platform and product offering, more experienced candidates could also be influencing product roadmaps. • Apply data science and machine-learning to infer understanding from our datasets. • Deploy best practices throughout the machine learning team, with potential to take on more responsibility depending on experience.

Requirements

• Experience building and deploying ML products in a team • Experience applying machine-learning and data science techniques to materials simulations (e.g., use of PyTorch to train models of physical properties) • 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++. • Experience leading a high performing ML team (if interested) • Understanding of issues in material sustainability and commitment to addressing them.

Benefits

• Stock Options: We value our employees and you to share in the success of the company. You will be a vested partner in our future achievements. • Flexible holidays: 33 days annual leave/year which can be used on UK public holidays or on more convenient days for you. • Your birthday day off: Enjoy a well-deserved day off to celebrate and recharge. • Work abroad: Travel the world while you get your job done - see family, or simply explore a new place! • Enhanced Family & Carers leave to ensure you get that quality time in when you need it • Flexible work arrangements: our shared office space in Shoreditch is here to help foster collaboration and community. Most of the team is in 2-3 days a week, but we are happy to discuss alternatives as necessary. • Continuous learning and growth: We’re pioneers in our field, so you'll be encouraged to expand your knowledge and skills in new areas too.