Job Description:
Calico is seeking a machine learning (ML) engineer to develop and productionize ML algorithms and software tools to support research into human aging and aging-related diseases.

This person will be part of a cross-functional effort to build a world-class machine learning platform to advance research efforts at Calico, develop novel ML algorithms to solve challenging research questions, and play a critical role in defining and executing Calico's strategy in computational biology and machine learning.

Candidates should be comfortable dealing with various types of biological data or data at a scale such that required methods and tools have yet to be well-developed.

The ideal candidate should be comfortable analyzing data at scale; have experience implementing, extending, and debugging machine learning techniques; and have expertise in designing and building high-leverage data infrastructure and tools.

Candidates should be able to demonstrate a strong ability to communicate ideas and results, and to work cross-functionally to execute complex projects.

Responsibilities:

• Strong background working with machine learning methods and experience in implementing and extending ML algorithms
• Strong software engineering skills and substantial expertise in one of Python, R, C/C++, or Java
• Track record of effective communication and collaboration in a cross-functional environment
• Strong analytical and quantitative skills