Materials Informatics Engineer (AI)

TL;DR

Materials Informatics Engineer (AI): Developing AI assets and supporting customers in adopting the Citrine Platform to solve materials science problems with an accent on machine learning integration and domain-aware technical support. Focus on building initial AI models, cleaning materials informatics data, and creating technical training content.

Location: Must be located in and authorized to work in Germany (Remote)

Salary: €50,000–€70,000 per year

Company

hirify.global is a leader in AI for materials and chemicals, providing a no-code SaaS platform to accelerate sustainable product development.

What you will do

• Assist customers with materials informatics challenges to accelerate product development in chemicals and manufacturing.
• Develop and implement initial AI models and assets on the Citrine Platform.
• Provide technical support and materials informatics training to help users integrate ML into their workflows.
• Clean, structure, and explore materials informatics data.
• Create knowledge base content, including articles and videos, to address frequently asked questions.
• Collaborate with technical leaders to encode complex domain knowledge into AI assets via UI or API.

Requirements

• Master's degree in Materials Science, Chemical Engineering, Chemistry, Physics, or equivalent industry experience.
• Exceptional communication skills in both English and German.
• Located and authorized to work in Germany.
• Proven ability to work autonomously, prioritize tasks, and execute deadlines.
• Experience in teaching others new technical skills and complex concepts.

Nice to have

• Experience or coursework in machine learning and statistics.
• Aptitude for programming, preferably in Python.
• Willingness to travel up to 25%.

Culture & Benefits

• Fully remote work arrangement within Germany.
• Mission-driven culture focused on sustainability and environmental impact.
• Commitment to diversity, equity, and an inclusive work environment.
• Transparent career growth path and internal leveling system.
• Culture of autonomy, personal accountability, and data-driven decision-making.