CuspAI - Applied AI/ML Engineer (Property Prediction Foundational Models)
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Requirements
• N/A - I have selected locations where I already have the right to work in answer to the previous question • N/A - I'm not able to / interested in working in any of these locations • Are you able to commit to at least 2-3 days in whichever office location(s) you've selected? Depending on the nature of the role there may be more or less flexibility around this. • 3+ days per week in the office • 2 days per week in the office • 1 day per week in the office • Fully remote only • Other (please provide more info in the 'Other considerations' box at the bottom of this form) • (This field is optional, but it will help to avoid potentially wasting time on both sides if you can provide even a rough range). • Ideally, we'd like to understand what basic (cash) salary you're looking for to make a move worthwhile. It's up to you if you also want to include other compensation considerations. • If you've selected multiple locations, please include your expectations for each country/city. • NOTE: we are not asking for your current salary details - just what you would be looking for if you were to join us. • NOTE: • we are not asking for your current salary details • Please let us know if you have a notice period or any other considerations. When would you ideally be looking to start something new? • Is there anything else you want to tell us?
Responsibilities
• Model Development & Application • Own the development, integration, and evaluation of property prediction models within customer workflows, ensuring reliable deployment and performance. • Adapt and fine-tune our core foundation models for specific property prediction applications to meet high-stakes scientific requirements. • Contribute to the ongoing development of multi-modal foundation models for molecular systems, designing architectures that handle diverse input and output modalities. • Implement uncertainty quantification methods to support Bayesian optimization pipelines, helping scientists navigate the vast space of potential materials. • Engineering Excellence • Build robust learned representations that generalize across various downstream tasks. • Support the deployment and integration of production-grade foundation models into our core platform. • Scientific Collaboration & Integration • Partner closely with our internal Chemists and Materials Scientists to integrate computational and experimental workflows into one seamless optimization loop. • Proactively learn the technical vocabulary of materials science and experimental chemistry to facilitate deep, meaningful interactions with domain experts. • Contribute to our mission by ensuring all system designs align with CuspAI's commitment to sustainability and solving the world’s most pressing physical challenges.
Benefits
• A competitive salary plus equity package so you have a stake in the success of the company • 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 • Direct impact on advancing materials science through cutting-edge technology • Collaborative environment bridging AI research, computational chemistry, and experimental science • CuspAI is an equal opportunities employer committed to building a diverse and inclusive workplace. We do not discriminate on the basis of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding), veteran status, or any other basis protected by applicable law. • We actively encourage applications from all backgrounds and value the unique perspectives and contributions that diversity brings to our team. • Please let us know If you require any specific adjustments during or after the interview process. We will do everything we can within reason to accommodate.
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