Applied Researcher in Scene Understanding (SUN) - SIML, ISE

Responsibilities in the role will include training large scale multimodal (vision-language) models on distributed backends, deployment of compact neural architectures such as transformers efficiently on device, and learning adaptive policies that can be personalized to the user in a privacy preserving manner. Ensuring quality in the field, with an emphasis on fairness and model robustness would constitute an important part of the role. You will be interacting very closely with a variety of ML researchers, software engineers, hardware & design teams cross functionally. The primary responsibilities associated with this position range from algorithm design and implementation, ability to integrate research into production frameworks, and collaborating closely with product teams before and after feature launch.

• Strong ML fundamentals
• Hands-on experience with building Deep Learning applications
• Proficiency in using ML toolkits, e.g., PyTorch
• Strong analytical and problem solving skills
• Strong programming skills in Python, C and C++
• You're aware of the challenges associated to the transition of a prototype into a final 
product
• You're familiar with the challenges of developing algorithms that run efficiently on 
resource constrained platforms
• You've demonstrated leadership in both applied research and development
• Excellent written and verbal communications skills, be comfortable presenting 
research to large audiences, and have the ability to work hands-on in multi-functional teams