A pioneering biotech firm in San Francisco is seeking a founding machine learning scientist to lead the development of a molecular foundation model for mass spectrometry. The role emphasizes ownership and autonomy in a fast-paced environment, focusing on modeling and inference directly from spectra. Candidates should have strong skills in machine learning, particularly with frameworks like PyTorch, and proficiency in Python programming. This position offers a unique opportunity to influence both research and development drastically.
Qualifications
Experience developing and training machine learning models.
Ability to independently scope research problems involving large datasets.
Strong software engineering skills in Python.
Responsibilities
Lead development of the next generation molecular foundation model.
Design and train models for mass spectra to molecular structure inference.
Extend structure predictions into downstream molecular reasoning.
Skills
Machine learning model development
PyTorch or similar frameworks
Python programming
Job description
A pioneering biotech firm in San Francisco is seeking a founding machine learning scientist to lead the development of a molecular foundation model for mass spectrometry. The role emphasizes ownership and autonomy in a fast-paced environment, focusing on modeling and inference directly from spectra. Candidates should have strong skills in machine learning, particularly with frameworks like PyTorch, and proficiency in Python programming. This position offers a unique opportunity to influence both research and development drastically.