Machine Learning Engineer II, Computer Vision Applied Science

The role involves prototyping new model architectures, developing evaluation benchmarks, and contributing to research in vision-centric LLMs. It also includes mentoring junior researchers and publishing work.

Candidates will join an innovative team pushing engineering boundaries. Depending on the domains associated with this job, you will be expected to design clean APIs, write automated test cases, and participate in peer code reviews. We value developers who focus on performance optimization, fast load times, and simple, maintainable architectures.