Chemix is seeking a highly-motivated data scientist to develop and expand our AI platform for battery materials discovery. Our AI platform is the core of Chemix. Though data is first and foremost in any application of AI, it is typically very scarce in materials development. We've designed our R&D operation to generate large, high-quality battery materials datasets. As a data scientist at Chemix, your mission is to help develop machine learning models, perform statistical analyses, and ultimately design and implement the pipelines that turn our data into actionable results. You'll make a fundamental contribution to developing the batteries that will power the electrification revolution in transportation and beyond.

As an early employee at a fast-moving startup, we expect you to quickly and creatively solve all kinds of technical problems, including those beyond your core expertise. An ideal candidate is able to learn quickly, is eager to stretch their knowledge of the ML and data software stack, takes pride in the quality of their work, and wants to make a real impact in energy storage technologies for electric transportation.

Responsibilities:

• Develop machine learning and data pipelines for a wide variety of applications and types of battery data
• Discover and introduce new ML models, statistical methods, software frameworks, and libraries
• Contribute code to Chemix's internal codebase (Python)
• Interface with our machine learning scientists, battery engineers, and customers
• Implement best practices for code development and ML-ops, experiment tracking, etc
• Inform the optimization of the R&D process that generates our data