Key Responsibilities:

Automate training of machine learning models on many different types of data
Collaborate with researchers to determine what data to collect and annotate
Support researchers in training new models and automating workflows
Collaborate with users to understand usability issues and develop solutions
Collect usage metrics and develop features to increase developer/research experience
Develop tests and processes to ensure software stability and correctness
Effectively communicate complex features and systems in detail while advocating for higher product quality and engineering efficiency
Develop backend software used by annotators to label data and enable researchers who use the resulting datasets
Code using primarily C/C++, Java, **Rust **or Python

Requirements:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
3+ years of experience with Python/Jupyter software development
Experience with SQL databases
Experience with scripting languages
Proven track record of shipping software
Experience with software development practices such as source control, code reviews, unit testing, and debugging
Collaborator with communication experience across teams of varying knowledge of components

Preferred Qualifications:

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