Lead AI Engineer

We are searching for an experienced AI Engineer to enhance our machine learning and AI capabilities and lead the AI engineering team. This role is central to our mission, offering the opportunity to shape the future of materials science and engineering through AI. The ideal candidate will possess a deep understanding and experience with AI/ML technologies, exceptional problem-solving skills, and a passion for innovation.

• Lead the AI engineering team, which is responsible for the development and enhancement of our AI-driven prediction and optimization tools.
• Craft and maintain state-of-the-art AI models, with an emphasis on reliability and scalability in production environments.
• Engage in data preparation, algorithm selection, model tuning, and pipeline construction to support diverse R&D projects.
• Collaborate closely with cross-functional teams to identify opportunities for AI integration and improvement.
• Drive the adoption of the latest advancements in Generative AI and Large Language Models (LLMs) within our platform.
• Foster a culture of continuous learning and innovation, mentoring team members and sharing knowledge on best practices and emerging technologies.
• Stay up-to-date with new technologies and methodologies in AI, continuously seeking ways to improve our platform and processes.

• Proven industry experience in AI/ML engineering (several years preferred).
• Extensive experience with data preparation, ML algorithm selection, model tuning, and building robust pipelines.
• Proficiency in Python and adherence to high-quality coding practices.
• Demonstrable experience with production-level code deployment.
• Experience working in a cloud environment, with a preference for GCP.
• Excellent communication and leadership skills, with the ability to both teach and listen effectively.
• A curious and innovative mindset, constantly exploring new technologies and methodologies.

• Knowledge of Bayesian optimization and its applications.
• Knowledge in Generative AI and Large Language Models.
• Experience in chemistry, materials science or related fields.

• A dynamic and supportive environment where your work directly impacts the future of materials science and engineering.
• The opportunity to work with a team of passionate, like-minded professionals.
• Hybrid work setup, combining the flexibility of remote work with the connectivity of in-office collaboration.
• Professional development and continuous learning opportunities.

MaterialsZone is a pioneering Materials Informatics company, dedicated to accelerating the R&D process across diverse materials-based industries including 3D printing, batteries, photovoltaics, plastics, and more. Our platform transforms the way organizations conduct their R&D processes, integrating data management, collaboration, visualization, AI-driven insights, and predictions to propel engineers toward achieving superior outcomes, faster and more efficiently.

Materials informatics is the application of data science and machine learning techniques to the field of materials science, aiming to discover new materials, optimize existing ones, and understand material properties more efficiently. It involves the collection, analysis, and modeling of large datasets relating to material compositions, structures, and properties to predict outcomes and accelerate material innovation. By leveraging computational tools, materials informatics enables the identification of patterns and relationships within data that are not readily apparent, significantly reducing the time and cost associated with traditional experimental approaches in material discovery and development.

Please send your resume, a cover letter highlighting your experience with AI/ML technologies, and any relevant projects to [email protected]. Include "Senior AI Engineer Application" in the subject line.