We're looking for an experience Team Lead AI/ML Scientist ideally based in Boston! (Relocation Package also offered) as this role is Hybrid (2 days on-site in Cambridge, Mass)

Required Skills:

• Proven leadership in AI/ML for materials science, chemistry, or physics.
• Expertise in deep learning, PyTorch, and physics-informed modeling (e.g., PINNs, neural ODEs).
• Strong Python skills and a track record in scientific publishing or open-source AI tools.
• PhD in Computer Science, Applied Mathematics, Materials Science, or similar.
• Experience with cloud computing (AWS) and high-throughput experimental workflows.
• Knowledge of integrating ML into lab operations and accelerated discovery platforms.
• Join us and redefine what's possible at the intersection of AI and materials science!

What You’ll Do

• Lead ML engineers and scientists pushing boundaries in AI for materials composition, structure, and performance.
• Oversee development of deep learning tools for discovery, synthesis, and performance prediction.
• Build innovative, physics-informed architectures embedding conservation laws and scientific principles.
• Collaborate with experimental teams to design AI-powered lab orchestration and synthesis optimization.
• Define strategies for dynamic platforms that refine models as data evolves.
• Share groundbreaking findings with stakeholders and the global research community.

To apply - please contact Sam Shinner at Discover International