cuspai - Data Engineer
Requirements
• You’ve worked with data from scientific computing (simulations or experiments). • Knowledge of machine learning data requirements and MLOps practices, including pre-processing/processing as part of model training. • An academic background in Materials Science, Chemistry, Chemical Engineering, or related field. • Even more bonus points if you have an understanding of crystallography, materials properties, and computational chemistry concepts!
Responsibilities
• Data Pipeline Development • Design and build robust data pipelines for materials science datasets, experimental results, and computational chemistry outputs. • Develop processes to integrate diverse data sources including materials databases, literature, patent filings, and laboratory instruments. • Create automated workflows for processing crystallographic data, molecular structures, and materials properties (you don’t need to have direct domain experience - we can help bring you up to speed!). • Build scalable systems to handle high-throughput computational chemistry calculations and experimental data. • Data Quality & Standardisation • Partner closely with the scientific and research teams to implement automated quality checks for crystal structure data, chemical compositions, and experimental measurements. • Create standardisation protocols for materials nomenclature, units, and measurement conditions. • Build monitoring systems to ensure data integrity across all pipelines. • Collaboration & Integration • You will also be working hand in hand with ML researchers to understand data requirements for model training and inference. • Partner with materials scientists to ensure accurate representation of domain knowledge in data schemas. • Integrate with laboratory automation systems and computational chemistry software. • Support real-time data needs for AI-driven materials discovery experiments.
Benefits
• A competitive salary: We value and reward impact and growth • Equity in CuspAI: You have a stake in the success of the company • Time off to stay fresh: 28 days holiday (DE, NL, UK) or 21 days holiday (JP, SG, US), in addition to local public holidays • ‘Gold Standard’ parental leave: 26 weeks (primary caregiver) and 12 weeks (secondary caregiver) at full pay - we look after you and your family while we work on the most important materials discovery problems together • Professional development budget: We invest in your career development so you can stay up to date with the latest industry knowledge or add to your skills to increase impact and growth • Solve meaningful problems: See how your work has a direct impact on advancing materials science and solving sustainability and climate-related problems through the creation and application of bleeding-edge SOTA technology and revolutionary techniques • True interdisciplinary teamwork: Be part of a deeply collaborative environment bridging AI research, computational chemistry, and experimental science - work with world-class researchers and engineers who enjoy sharing knowledge and supporting each other • 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.
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT