CuspAI is hiring a Data Engineer to build the infrastructure bridging raw chemical data and machine learning models, including ingestion pipelines, tooling and self-serve solutions for the scientific team.
Responsibilities
- ▹Design and build robust data pipelines for materials science datasets, experimental results and computational chemistry outputs
- ▹Integrate diverse data sources: materials databases, literature, patent filings, laboratory instruments
- ▹Create automated workflows for processing crystallographic data, molecular structures and materials properties
- ▹Build scalable systems for high-throughput computational chemistry and experimental data
- ▹Implement quality-check frameworks for crystal structure, chemical composition and measurement data with scientists
- ▹Build monitoring systems to ensure data integrity across pipelines
- ▹Collaborate with ML researchers to understand data requirements for model training
- ▹Integrate with laboratory automation systems and computational chemistry software
- ▹Support real-time data needs for AI-driven materials discovery experiments
Requirements
- ▹At least 3+ years of experience in data engineering roles, preferably in scientific or research environments
- ▹High proficiency in Python and databases, with large-scale data processing experience
- ▹Advanced user of workflow orchestration tools (Airflow, Prefect, Dagster, Flyte or similar)
- ▹Solid experience with containerisation (Docker, Kubernetes) and CI/CD practices
- ▹Direct experience handling large/complex datasets, interest in scientific packages
- ▹Fast learner with new tools and systems
- ▹Experience designing systems that scale with growing data volumes and user demands
- ▹Understanding and appreciation of DevOps practices
Nice to have
- ▹Experience with scientific computing data (simulations or experiments)
- ▹Knowledge of machine learning data requirements and MLOps practices
- ▹Academic background in Materials Science, Chemistry, Chemical Engineering or related field
- ▹Understanding of crystallography, materials properties and computational chemistry concepts
Soft skills
AutonomyMentoring and sharing best practiceCollaboration with scientistsProblem solving
What we offer
- ▹Competitive salary
- ▹Equity in CuspAI
- ▹28 days holiday (DE, NL, UK) or 21 days (JP, SG, US), plus local public holidays
- ▹'Gold Standard' parental leave: 26 weeks (primary caregiver) and 12 weeks (secondary caregiver) at full pay
- ▹Professional development budget
- ▹Truly interdisciplinary, collaborative team environment
About the company
CuspAI is a frontier AI company on a mission to accelerate the materials breakthroughs needed to power human progress; its founding team, the most cited in the world, works at the intersection of AI, chemistry and engineering on challenges such as energy, clean water and carbon capture.
Ähnliche Stellen
Stelle
Product Manager - Data Products
CDP Global
💰 Gehalt: keine Angabe
🏢 Vor Ort
🇬🇧 London
🗣️ EN

Stelle
Senior Analyst - Data Centers
Informa Group Plc.
💰 Gehalt: keine Angabe
🏢 Vor Ort
🇬🇧 London
🗣️ EN

Stelle
Data Science Manager - Delivery Team
Deliveroo
💰 Gehalt: keine Angabe
🏢 Vor Ort
🇬🇧 London - The River Building HQ
🗣️ EN

Stelle
Data Science Manager - Merchants Team
Deliveroo
💰 Gehalt: keine Angabe
🌍 Remote
🇬🇧 London - The River Building HQ
🗣️ EN

Stelle
Software Engineer, Data Infrastructure & Acquisition - Odesa, Ukraine
Speechify
💰 Gehalt: keine Angabe
🏢 Vor Ort
🇬🇧 Odesa
🗣️ EN

Stelle
Software Engineer, Data Infrastructure & Acquisition - Leeds, United Kingdom
Speechify
💰 Gehalt: keine Angabe
🏢 Vor Ort
🇬🇧 Leeds
🗣️ EN