
Artificial Intelligence ⢠Biotechnology ⢠Science
Matterworks is a biotechnology company that unlocks molecular intelligence through its innovative AI platform. The platform specializes in interpreting complex biological data, particularly from omic sources, which are usually challenging to analyze due to their unstructured nature. By leveraging a Large Spectral Model (LSM) akin to large language models, Matterworks reveals hidden insights that can significantly advance the field of biotechnology.
11 - 50 employees
đ¤ Artificial Intelligence
đ§Ź Biotechnology
đŹ Science
đ° Convertible Note on 2023-01
August 9

Artificial Intelligence ⢠Biotechnology ⢠Science
Matterworks is a biotechnology company that unlocks molecular intelligence through its innovative AI platform. The platform specializes in interpreting complex biological data, particularly from omic sources, which are usually challenging to analyze due to their unstructured nature. By leveraging a Large Spectral Model (LSM) akin to large language models, Matterworks reveals hidden insights that can significantly advance the field of biotechnology.
11 - 50 employees
đ¤ Artificial Intelligence
đ§Ź Biotechnology
đŹ Science
đ° Convertible Note on 2023-01
⢠At Matterworks we are building AI tools to extract insights from biological data. ⢠Position Overview: As a Principal Machine Learning Scientist, you will be a technical leader for our research. ⢠Define and drive the long-term vision for our deep learning architecture. ⢠Lead the conceptualization, design, and implementation of innovative deep learning models. ⢠Provide intellectual leadership to the machine learning team and the broader company. ⢠Work closely with engineering, product, and scientific discovery leadership. ⢠Mentor and develop our team of machine learning scientists, fostering a culture of excellence.
⢠Ph.D. in a quantitative field such as Computer Science, Chemistry, Physics, or a related discipline, 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. This should be evident through publications, patents, or a portfolio of shipped products. ⢠Expertise or strong familiarity with machine learning for spectral analysis, molecular structure prediction, or novel molecular representation learning is highly preferred. ⢠A strong publication record in top-tier machine learning or scientific journals (e.g., NeurIPS, ICML, Nature, Science) is highly desirable. ⢠Proficiency with common scientific data formats (e.g., HDF5, mzML, zarr).
⢠Competitive base salary ⢠Stock options ⢠Health & dental insurance ⢠Vision insurance ⢠Long- and short-term disability ⢠Life insurance ⢠401k with company match ⢠Flexible work & unlimited time away policy ⢠Commuter benefits and parking ⢠Regular team meals and outings ⢠Company support for continued education/coursework and conference participation
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