Internship Opportunity : Machine Learning with new compute paradigms Internship

Key Skills

Algorithms, Automation, Computational Algorithms, Computer Vision (CV), Deep Learning, Machine learning techniques, Natural Language Processing (NLP), Python Programming, PyTorch

Job Description

Intern in Cloud Infrastructure. Exploring new AI models, concepts, and algorithms suited for the next-generation of AI computer hardware.

Qualifications Minimum Qualifications:  

• The candidate should be studying towards a Ph.D. in Physics, Mathematics, Computer Science, or related areas.

The successful candidate is skilled in the following areas:

• Energy-based deep learning Foundations of deep learning At least one area of specialization in either natural-language processing or reinforcement-learning, or computer vision

Preferred/Additional Qualifications:

• Besides these core competencies, a successfully candidate would have many of the following desirable experiences and capabilities: At least 1-3 years’ experience in deep-learning research
• Experience with programming in python and a deep-learning framework (ideally pytorch) Experience in conducting research, evidenced by publications in top ML conferences (such as NeurIPS, ICML, ICLR) Good presentation and communication skills. Good organizational skills, capable of managing multiple simultaneous tasks effectively. Experience applying Computational Thinking techniques to solve problems in experimental science and/or obtaining reproducible results through algorithms and automation.

Responsibilities

• You will be responsible for driving research into AI models that would benefit from new compute primitives and explore their strengths and weaknesses.
• This will involve developing the code necessary to conduct this research and present results to the group.