Chemix is seeking a highly-motivated machine learning research engineer intern to help develop and expand our internal AI capabilities 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 entire R&D operation to generate battery materials datasets of unprecedented size and quality. As a machine learning research engineer intern at Chemix, your mission is to work with our machine learning scientists to (i) suggest, prototype, and test new algorithms, and (ii) design and build the machine learning 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:

Suggest, prototype, and test new ML algorithms based on our large materials datasets
Discover and introduce new ML models, statistical methods, software frameworks, and libraries
Contribute code to Chemix's internal codebase (Python)
Interface with our data scientists, data/software engineers, and battery engineers
Implement best practices for code development and ML-ops, experiment tracking, etc
Inform the optimization of the R&D process that generates our data

Requirements

In-progress, or recently completed, MS or PhD in applied machine learning or adjacent field.
Experience with core data science, machine learning, and statistics concepts
Experience with the python data ML stack: pandas, numpy, sklearn, pytorch / tensorflow
Experience with the fundamentals of ML and software ops: git, testing, CI/CD, experiment tracking, cloud computing
Clear communication and good people skills
Strong organization and ability to manage parallel projects

Nice to have:

Previous battery data experience
Familiarity with experimental chemistry/materials science

Benefits

Stock Option Plan
Health Care Plan (Medical, Dental & Vision)
Retirement Plan (401k)
Paid Time Off (Vacation, Sick & Public Holidays)
Family Leave (Maternity, Paternity)

Chemix, Inc.

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Machine Learning Research Engineer Internship