Principal Machine Learning Scientist

Ph.D. in Computer Science, Chemistry, Physics, or related quantitative field, or equivalent research experience. 10+ years of experience in machine learning, with a significant focus on architecting novel deep learning systems. Demonstrated experience in leading the architectural design of complex deep learning systems (publications, patents, portfolio). Expertise or strong familiarity with machine learning for spectral analysis, molecular structure prediction, or novel molecular representation learning is highly preferred. Strong publication record in top-tier machine learning or scientific journals is highly desirable. Proficiency with common scientific data formats (e.g., HDF5, mzML, zarr).

Define and drive the long-term vision for core deep learning architecture. Lead the conceptualization, design, and implementation of innovative deep learning models. Provide intellectual leadership to the machine learning team. Work closely with leadership in engineering, product, and scientific discovery. Mentor and develop machine learning scientists.