• A deep learning expert with a track record of doing novel research in one or more of the following domains: denoising diffusion, normalizing flows, flow matching, neural ODEs and SDEs, or other cutting edge generative or predictive machine learning models
• Independent thinker with a strong sense of ownership and capability of driving research ideas from first-principles-based conceptualization to state-of-the-art realization
• Strong coder who is not afraid of deep dives into engineering whenever necessary
• Curious, problem-oriented thinker who is excited to dive deep into the emerging field at the intersection of AI, physics, chemistry, and biology and make foundational contributions and discoveries (no previous experience in anything but ML necessary)

Desirable

• We’re seeking an experienced ML Research Scientist to shape and lead the ML research agenda for generative modeling of molecular systems, which is instrumental to our mission
• You will be at the forefront of pioneering research initiatives, driving the continuous evolution and enhancement of our AI platform, while collaborating with exceptional engineers, researchers, and a team of biochemistry experts
• Lead transformative research projects that enhance the Genesis AI platform's capabilities, focusing on generative models for molecular systems
• Navigate the latest deep learning literature, extracting insights from generative modeling in adjacent domains (language, images, 3D graphics, etc.), develop novel models and training techniques for molecular data, and communicate your findings to the team
• Carefully design and run experiments at scale to validate most promising approaches and work closely with engineers to ship state-of-the-art models to production
• Contribute to the research community by publishing some of our findings in the form of research papers and blog posts at top tier AI/ML venues (NeurIPS, ICML, ICLR, etc.), attending conferences and workshops, and engaging in continuous learning and knowledge exchange
• Have the opportunity to mentor and guide more junior members of our technical team as well as research interns, fostering an environment of growth and innovation