Senior Research Scientist for Advanced Technologies

2 days ago


Bengaluru, Karnataka, India Dolby Laboratories Full time

Company Overview

Dolby Laboratories is a world-renowned leader in entertainment innovation, where science meets art and high-tech means more than just computer code. As a member of the Dolby team, you'll see and hear the results of your work everywhere, from movie theaters to smartphones.

We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide. To do that, we need the absolute best talent. We're big enough to give you all the resources you need, and small enough so you can make a real difference and earn recognition for your work.

Salary

The estimated annual salary for this position is approximately $120,000-$150,000, depending on experience and qualifications.

Job Description

This role will be part of the Advanced Technology Group (ATG) in Dolby India's Bangalore office. You will be working with our talented team to investigate and develop foundational models, designing, implementing, and evaluating multi-modality architectures that require good knowledge of fundamental deep learning concepts, multi-modality architectures, representation learning, and basic knowledge of vision, audio, and text processing.

Required Skills and Qualifications

  • Pursuing PhD (third year onwards) in Electric Engineering, Computer Science, Mathematics, Physics or similar
  • Strong knowledge in more than one of the following domains: Deep-learning fundamental concepts, Self-supervised learning or representation learning, Multi-modal architectures (Such as CLIP), Latent diffusion based generative models, State-space models
  • Solid programming skills in Python
  • Basic knowledge of vision, audio, and text processing
  • Experienced in technical writing and filing patents.

Benefits

We offer a collegial culture, challenging projects, and excellent compensation and benefits, not to mention a Flex Work approach that is truly flexible to support where, when, and how you do your best work.

Others

Publications in the multi-modality or generative-AI domain are a plus.



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