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Develop generative models for materials science research, conduct experiments, mentor team members, and publish in top AI/ML venues.

As an ML Engineer, you will develop and deploy machine learning models, collaborate on research, and mentor team members in materials science applications.

Lead the development of an intelligent agentic system for materials science, focusing on data acquisition, model evaluation, and mentoring junior team members.

As a Mechatronics Engineer, you'll bridge mechanical engineering and software to enhance robotic systems for materials research and development. You'll design control systems, troubleshoot electromechanical systems, and optimize laboratory equipment performance.

Design and build robotic and autonomous systems for material science research, using CAD and prototyping techniques. Collaborate on engineering initiatives and manage individual projects.

As a Full Stack Software Engineer at Radical AI, you'll design and develop systems that bridge software with physical labs, manage workflows, build interfaces, and control robotic hardware.

As a DevOps Engineer, you'll build and maintain a secure development pipeline for AI and materials discovery, ensuring efficient software delivery and infrastructure integrity.

As a DevSecOps Engineer, you will build secure CI/CD pipelines, automate security in development, and collaborate on secure software delivery.

The job seeks elite candidates who can demonstrate their capabilities and express their goals for work within the company.

As a Systems Engineer, you will design and build infrastructure for software and hardware interactions, working closely with materials R&D and AI technologies.