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Join to apply for the AI Research Scientist - GNN / Foundation Models role at Radical AI

Join to apply for the AI Research Scientist - GNN / Foundation Models role at Radical AI

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This range is provided by Radical AI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$100.00/yr - $300.00/yr

Radical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability.
The opportunity
As an AI Researcher focused on the development of our foundation model, you will be at the forefront of integrating advanced ML techniques with materials modeling to create a generalizable, robust, and scalable universal ML interatomic potential capable of accelerating materials discovery. Your work will play a critical role in enabling self-driving labs and advancing AI-driven materials science.
Your expertise will contribute to the broader research community through publications in top-tier AI/ML venues like NeurIPS, ICML, ICLR, and our company blog, alongside active participation in conferences and workshops. This role offers the unique opportunity to mentor and guide junior members of our technical team and research interns, fostering a culture of growth and innovation.
Positions are available at various levels of seniority: Senior, Staff, and Principal.
Mission

• Develop scalable MLIP frameworks capable of representing diverse chemical systems with high fidelity
• Innovate and implement state-of-the-art machine learning models, such as graph neural networks, equivariant architectures, or hybrid approaches for interatomic potential development
• Curate and integrate large-scale datasets from first-principles calculations (e.g., DFT) and experimental sources
• Explore active learning and automated data acquisition workflows for efficient dataset expansion
• Address challenges of scalability, generalizability, and transferability in MLIP designs
• Optimize training and inference pipelines to leverage high-performance computing resources effectively
• Contribute to the AI and materials science research community through publications and active engagement in top-tier AI/ML venues like NeurIPS, ICML, ICLR, and our company blog, alongside active participation in conferences and workshops.
• Tackle challenging problems with new and different ideas, creativity and contrarian thinking
• Mentor and guide junior team members and interns, promoting an environment of continuous learning and innovation
  
  

About You

• Ph.D., M.S., or B.S. in AI, Machine Learning, Physics, Materials Science, Computer Science, or a closely related field, with a strong focus on atomistic modeling
• At least 3 years of research experience in AI, especially in graph neural networks, deep learning architectures, or equivariant modeling techniques
• Solid understanding of materials modeling and interatomic potentials, including DFT and molecular dynamics simulations
• Familiarity with high-performance computing and distributed training methods
• Demonstrated experience in designing and running large-scale experiments in AI and machine learning
• Passionate about leveraging ML for science related problems and a commitment to doing world-class research
• Proficiency in Python and relevant ML libraries (e.g., PyTorch)
• Strong publication record in top-tier AI/ML conferences or journals
• Excellent collaboration and communication skills, capable of articulating complex technical ideas clearly and effectively
  
  

Pluses

• Experience in developing or applying MLIPs such as Gemnet, MACE, NequIP, Allegro, or similar frameworks
• Familiarity with software engineering best practices
  
  

What We Offer

• A competitive compensation package also includes the best in benefits:
• Medical, dental, and vision insurance for you and your family
• 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
  
  

Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

• Equity
• Benefits
• base pay offered may vary depending on job-related knowledge, skills, and experience
  

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Chemical Manufacturing

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