Senior Machine Learning Scientist, Atomic AI

• Ph.D., M.Sc., or M.Eng. in Computer Science, Physics, Applied Mathematics, Materials Science, Computational Biology, or related field
• 5+ years of experience developing machine learning methods for scientific applications
• Foundational knowledge of machine learning and underlying mathematical concepts
• Proficiency in Python and deep learning frameworks (e.g., PyTorch)
• Excellent presentation and writing skills, able to clearly communicate technical information to colleagues

Desirable

• As a full-time Scientist on the Machine Learning team, you will work closely with engineers and experimental scientists to advance our R&D technology platform for RNA structure prediction, target identification, and early drug discovery.
• You will co-lead the development and evaluation of the machine learning pipeline. You will contribute new ideas and realize their potential as part of a continuously advancing state-of-the-art platform.
• You will proactively shape the directions of the machine learning efforts and those of the whole company
• At Atomic AI, you will be an execution-focused self-starter with a passion for scientific research and a positive attitude when facing challenges.
• You will prioritize effectively amidst complexity, adapt nimbly to changing conditions, and grow outside of your comfort zone. You will collaborate thoughtfully and promote the success of all team members
• Design and develop novel machine learning models for RNA structure prediction and drug targeting
• Evaluate and advance the state of the art of our structure prediction platform
• Collaborate with the biosciences team on the targeted acquisition of experimental data to improve our machine learning models
• Develop high-quality code in a team setting
• Work with the engineering team for model training and deployment and guide the data pipeline development
• Analyze, interpret, and organize results and present progress to colleagues in regular research meetings
• Work within a collaborative, high-caliber, interdisciplinary team and proactively shape the scientific and strategic vision of the company