
Deep Learning Researcher
Dolby’s Applied AI group is looking for a Deep Learning researcher to contribute to Dolby’s focus on AI and machine learning for audio. The person in this role would create and improve entertainment technologies using machine learning and collaborate with Dolby’s world-class audio and vision experts to develop state-of-the-art solutions. Work closely with other domain experts to refine and execute Dolby’s technical strategy in artificial intelligence and machine learning. Use deep learning to create new solutions and enhance existing applications. Combine domain knowledge with state-of-the-art deep learning techniques. Push the state-of-the-art and develop intellectual property. Advise internal leaders on recent deep learning advancements in the industry and academia to further influence research direction and business decisions.
4 years of experience in Computer Science or similar, with a focus on deep learning.
Strong publication record, with publications in major machine learning conferences (e.g. NeurIPS, ICLR, ICML, etc.)
Interest in audio technologies. Proficiency in theory and application of digital signal processing techniques.
Python
Tensorflow
Pytorch
Time Management Skills
Strong publication record
Process Improvement
Driven and self-motivated
Communication Skills
Adaptability
Problem Solving Skills
Detail oriented and highly organized
Multi tasker
According to JobzMall, the average salary range for a Deep Learning Researcher in 1275 Market St, San Francisco, CA 94103, USA is $103,938 - $165,931 per year. This range may vary based on a variety of factors, such as experience, job type, and location.
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Dolby Laboratories (NYSE: DLB) is based in San Francisco with offices in over 20 countries around the globe. Dolby transforms the science of sight and sound into spectacular experiences. Through innovative research and engineering, we create breakthrough experiences for billions of people worldwide through a collaborative ecosystem spanning artists, businesses, and consumers.

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