Participate in research to develop solutions for problems.
Research, conceive, and develop ML solutions to accelerate different teams in platforms and devices.
Contribute to deeper understanding of limitations of ML architectures, trade-offs and optimizations.
Lay down the next steps for adoption of the research into next generation product development.
Minimum qualifications:
Currently enrolled in a PhD program in Computer Science and Engineering, Machine Intelligence and Data Science, AI, or a related technical field.
Experience in one or more areas of Machine Learning (e.g., Large Language Models, Deep Learning, Natural Language Understanding, Computer Vision, etc.).
Experience programming in Python.
Preferred qualifications:
Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
Experience as a researcher, including internships, full-time, or at a lab.
Experience contributing to research communities or efforts, including publishing papers in conferences or journals.
Experience with one or more ML frameworks (e.g., TF, JAX, Flax, etc.).
Experience working with big-data or training a foundational model.
Ability to design and execute on research agendas.
