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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 inspire/make a difference how people create, deliver, and enjoy entertainment worldwide.
To do that, we need the absolute best talent. Are you the one?
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. Would you like to work on the latest entertainment technologies to deliver spectacular experiences with us?
The Dolby Applied AI team is currently looking for a talented, self-motivated intern to push the boundaries of the state-of-the-art in audio and media technologies. As a candidate, we want you to have a clear understanding of deep learning architectures and techniques, so RNNs, Transformers, log-likelihoods or weight decay are trivial concepts for you already, and you usually play around with more complex ideas and developments around generative models (e.g., diffusion models, VAEs, GANs), self-supervised learning (e.g., PASE+, wav2vec, VICReg), or others.
Responsibilities Get good knowledge about relevant literature. Assist with collection and processing of data sets. Reproducing and extending existing research. Invent and design new algorithms. Run experiments. Propose and demonstrate prototypes of new research ideas. Implement evaluation pipelines. Perform evaluations and compare with the state-of-the-art. Communicate research progress and document code and results. Write technical research papers. Qualifications: Excellent knowledge of machine/deep learning. Some knowledge in audio or video signal processing is a plus. Pytorch or Tensorflow. Good Python programming skills. Some experience with command-line Linux. Specific knowledge in at least one of these areas: Generative models, source separation, self-/semi-/un-supervised learning, neural network pruning/compression/distillation, style transfer. Other specific machine/deep learning areas will also be considered. Publication in a major machine learning, audio, or image conference (e.g., NeurIPS, ICLR, ICML, ICASSP, INTERSPEECH, CVPR, ICCV). Eligibility Working towards an MSc or PhD degree in Computer Science or a related field. We will prioritize candidates based on experience level. Dolby Hiring Entity:Avenida Diagonal,177,Planta 10 08018 Barcelona,Spain#LI-MS2
