ML Engineer

Radical AI is an artificial intelligence company accelerating scientific research and development in materials R&D. They leverage AI and machine learning to revolutionize materials creation and discovery, speeding up R&D and addressing global challenges. As an ML Engineer, you'll develop machine learning systems, data pipelines, and training infrastructure, impacting end-to-end AI-driven materials development.

Requirements

• Ph.D., M.S., or B.S. in Computer Science, AI, Machine Learning, Applied Maths, Engineering or a closely related field, or equivalent practical experience.
• Proven record of accomplishment in building machine learning systems, working with large generative and/or language models
• Excellent understanding of machine learning infrastructure and systems fundamentals.
• Strong background in algorithms, data structures, and software engineering principles.
• Working knowledge of various generative AI architectures, including transformers, diffusion models, CNFs, and flow matching.
• Proficiency in Python and relevant ML libraries (e.g., PyTorch), as well as tools for deploying ML models (e.g., MLflow, K8s, Docker).
• Passion for staying current with the latest trends in AI/ML technologies.
• Excellent collaboration and communication skills, capable of articulating complex technical ideas clearly and effectively.

Benefits

• Medical, dental, and vision insurance
• Mental health and wellness support
• Unlimited PTO and 14+ company holidays per year
• 401K
• Work closely with a team on the cutting edge of AI research.
• A mission: an opportunity to fundamentally change the way humanity makes progress through materials science discovery.