Sr. Semantics Computer Vision Research (Bangalore, IN)

Join the leader in entertainment innovation and help us design the future.

At Dolby, science meets art, and high tech means more than 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.

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.

You will bring your experience in high-level computer vision tasks and deep learning technology to Dolby.

As a prerequisite for your work, you have proven knowledge of the large language model, vision language model, detection/recognition/understanding, multi-modality, and deep learning.

Your solid understanding of trade-offs between computational complexity and achieved performance of different implementations will guide you in decisions.

You will research and develop new neural network architectures, training methods, representation, and processing algorithms on the areas of modern computer vision.

You must have an in-depth understanding of the key processes in computer vision.

You have extensive experience in developing architectures, high-level computer vision tasks, fine tuned systems with pre-trained language models, and processing algorithms with deep learning to improve performance of computer vision tasks.

You will join a highly skilled and motivated team to research and develop advanced computer vision and processing technologies to improve end user experience.

Job Functions

• Works with a general understanding of competitive technologies in the area of focus.
• Works to understand the system context in which new technologies will be used and the requirements that the technology must fulfill for success.
• Creates early-stage conceptual models that demonstrate feasibility.
• Document and present the new architectures and algorithms in various forms, such as technical white papers and internal meeting