Description
You will develop and deploy machine learning models and algorithms to accelerate drug discovery and improve decision cycle times.
Responsibilities
- Develop and deploy machine learning models into user-facing AI products.
- Preprocess large-scale data to ensure data quality and model accuracy.
- Collaborate with cross-functional teams to translate business needs into technical solutions.
- Write, review, and contribute well-tested, production-ready code to the codebase.
- Monitor and evaluate the performance of deployed models using data at scale.
Required Skills
- 5+ years of experience in machine learning, software engineering, and Python.
- Experience developing computer vision algorithms using PyTorch.
- Proficiency in AI and ML development.
- Experience working in a collaborative CI/CD software development environment using git.
- Ability to write quality, well-documented, and well-tested code.
- MS degree in Computational Sciences, Engineering, Data Science, Applied Mathematics, Statistics, or a related scientific field, or a BS degree with additional years of relevant experience.
Preferred Skills
- Track record of developing software for solving challenging real-world scientific problems.