Work with research mentors to formulate research projects or novel applications of machine learning aligned with the team's mission.
Conduct research and publish high quality work.
Design and execute large-scale experiments, writing high-quality, reusable code, and contributing to a production-ready system using frameworks such as JAX.
Learn and understand research in machine learning algorithms.
Understand how to use research to drive design decisions.
Minimum qualifications:
PhD degree in a STEM field (e.g., Computer Science, Mathematics, or Statistics) or equivalent practical experience.
Experience with one or more general purpose programming languages: Python, C/C++, or Java, etc. and training deep learning models in frameworks such as JAX, TensorFlow, or PyTorch.
Research experience in machine learning or AI techniques (e.g., open source project(s), campus lab experience, research internship(s), or publication(s)).
One or more scientific publication submission(s) in AI conferences (e.g., NeurIPS, CVPR, ICCV, ICLR).
Preferred qualifications:
Master’s degree in a STEM field (e.g., Computer Science, Mathematics, or Statistics), or equivalent practical experience.
Ability to work and collaborate across multiple teams and work with ambiguity.
