Machine Learning Researcher

Are you passionate about advancing the frontier of AI and molecular science
? This is an exciting opportunity for a Machine Learning Research Scientist to develop cutting edge generative models within a bold, pioneering environment. If you have a strong foundation in deep learning, probabilistic inference, and reinforcement learning
, and want to shape the next generation of AI for the physical world, this role could be perfect for you.

Join a pioneering tech leader at the intersection of AI and chemistry
, committed to creating transformative world models for atomic and molecular systems. This well funded and talent dense organization operates on a culture of innovation, rapid execution, and collaboration
, with access to immense computing resources and challenges that truly push the boundaries of science and engineering.

• Advanced degree in Machine Learning, Computer Science, Computational Physics, or related field
• Industry research experience post-degree
• Strong publication or open-source record in ML research
• Expertise in Python and modern ML frameworks (e.g.,
  Py Torch ,
  JAX
  )
• Excellent interdisciplinary communication skills

As part of the Machine Learning team
, you will:

• Design and train advanced generative models (diffusion, autoregressive, flow-based, latent-variable)
• Develop sampling and simulation methods integrating probabilistic inference and RL
• Bridge simulation and reality through data mapping models
• Rapidly prototype and deploy scalable research tools
• Collaborate with domain experts in physics and chemistry to ground models in real science
• Deep learning and generative architectures
• Probabilistic modeling and Bayesian inference
• Reinforcement learning for molecular systems
• Distributed computing environments

• Experience with 3D point clouds and dynamic data
• Probabilistic programming and sequential Monte Carlo methods
• Familiarity with statistical mechanics and computational chemistry
• Multi-cloud and distributed compute systems experience

This is your chance to define the future of AI-driven science in a fast-moving and intellectually stimulating environment.