Machine Learning Software Engineer at Mobileye bridging machine learning research and robust production deployment. Developing scalable inference pipelines primarily in Python with infrastructure tools.
About the role
- Intern working on peptide and minibinder design at pharmaceutical company. Collaborating with professionals on innovative projects in machine learning and computational chemistry.
Responsibilities
- Work on the development and implementation of novel in house peptide and minibinder design platform powered by SOTA structure prediction models and enhanced sampling methods
- Integrate other enhanced sampling currently not in the pipeline such as Monte Carlo tree search
- Integrate various machine learning property predictors into the pipeline
- Benchmark NovoBind on diverse systems and improve the pipeline scope
- Implement reinforcement learning to bias the generation of designs
- Learn about state of the art structure predictors and metric, computational sequence-based binder design, reinforcement learning, drug design with computational chemistry across a broad set of modalities at Novo Nordisk including peptides, minibinders, and antibodies.
Requirements
- Current student enrolled at an accredited college or university pursuing at least a bachelor’s degree
- In progress doctoral degree in Computer Science, Machine Learning, Artificial Intelligence, Computational Chemistry or a related discipline preferred
- Strong academic record with a preferred cumulative GPA of 3.0 or higher
- Conscientious self-starter with good organizational skills, project management skills and attention to detail
- Ability to balance multiple projects and priorities, must be able to multi-task
- Strong interpersonal communication and ability to collaborate with teams; must effectively operate independently, across functional lines, and with internal customers
- Demonstrated personal initiative, self-motivation, flexibility, adaptability and willingness to learn
- Proficient in Microsoft Office Tools including Word, Excel, PowerPoint, etc.
Benefits
- Instructor led trainings
- Leadership engagement series
- Guided mentorship program
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