Senior Time Series Research Engineer

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 multi-modal time series analysis and deep learning technology to Dolby. As a prerequisite for your work, you have proven knowledge of the time-series data pre-/post-processing and transformation, learning-based time series modeling, time-series representation and compression, generative time-series processing, multi-modal time-series tasks, 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, time-series data processing, time-series restoration and enhancement, multi-modality, fusion, and deep learning based solution to improve performance of time series 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

Maintain the highest technical and moral integrity for Dolby in the workplace and marketplace.

Skills, Education, and Experience Required

Ph.D. degree in electrical engineering, computer engineering, or computer science.

Minimum of 3 years of experience in developing algorithms for machine learning and deep learning, time series processing, sensor data processing.

Intimately familiar with computer vision, data compression, as well as corresponding software in consumer and professional products.

Strong publication record, with publications in major machine learning conferences (e.g., NeurIPS, ICLR, ICML). Publications in top domain-specific conferences is desirable (e.g., ACL, CVPR, ICASSP)

Knowledge or experience in any/all the following are helpful:

Generative models, such as diffusion, GAN, VAE

Learning methods, such as self-supervised, contrastive learning meta learning, coarse-fine training.

Multimedia applications, such as audio, speech, image, video or text/language

Proficient in Matlab, C/C++, OpenCV, and Python (Tensorflow/Pytorch) programming applied to computer vision is required.

Self-motivated, quick learner and strong team player with ability to work with minimal supervision.

Excellent written and verbal communication skills.

It is highly desirable to have one or more of the following:

Experience in filing patents of newly developed technologies.

Hands-on experience in applying Time Series and Machine Learning algorithms to real-world problems

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