Senior Machine Learning Scientist
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Job Description
Senior Machine Learning Scientist developing AI tools to extract insights from biological data. Designing and optimizing neural network architectures for complex mass spectrometry data interpretation.
Responsibilities:
- Design, adapt, and optimize deep learning architectures for scientific domains and data modalities.
- Own and deliver on complex ML projects, including experiment design, implementation, evaluation, and iteration based on results.
- Write clean, well-tested code in PyTorch and NumPy enabling a high experimentation rate.
- Stay current with deep learning research and its applications in chemistry and biology.
- Propose and prototype new ideas to enhance our modeling capabilities.
- Work closely with scientists and engineers across the team to integrate models into our product and infrastructure.
Requirements:
- Ph.D. M.S. in a quantitative field (Computer Science, Chemistry, Physics, or related), or equivalent experience.
- 3+ years of hands-on experience building and deploying deep learning models.
- Strong proficiency in Python, PyTorch, and NumPy.
- Demonstrated experience designing or adapting neural network architectures.
- Publications or a portfolio of relevant projects valued.
- Experience with spectral analysis, structure prediction, or molecular representation learning is a plus.
- Familiarity with scientific data formats (e.g., HDF5, mzML, Zarr) is a plus.
Benefits:
- Matterworks offers a competitive base salary
- stock options
- health & dental
- vision
- 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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