Description

You will develop and deploy machine learning models to accelerate drug discovery and improve decision cycle times.

This role is on-site.

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 and software engineering.
• Proficiency in Python.
• Experience developing computer vision algorithms using PyTorch.
• 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.

Key Skills

Education

ANY GRADUATE