Dolby Laboratories Inc.
Sr. Foundational Audio AI Researcher
Atlanta, Georgia,United States · Senior · Full-time
Sponsorship not specified$138k-$168kDetected 8 days ago
PythonDistributed SystemsAlgorithmsMachine LearningDeep LearningTensorFlowPyTorchData ScienceNLPComputer VisionIntellectual PropertyElectrical EngineeringSignal ProcessingResearchCommunicationCollaboration
About the role
- 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.
- To do that, we need the absolute best talent.
Responsibilities
- Push the state-of-the-art and develop intellectual property.
Skills
- Dolby is proud to be an equal opportunity employer.
- Our success depends on the combined skills and talents of all our employees.
Compensation
- $138k-$168k
Benefits
- Partner 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 (including foundation models) and enhance existing applications.
- Advise internal leaders on recent deep learning advancements in the industry and academia to further influence research direction and business decisions.
- A strong background in deep learning, both in terms of conceptual understanding, as well as practical experience.
- Strong publication record, with publications in major machine learning conferences (e.g. NeurIPS, ICLR, ICML).
- Good knowledge about current machine learning literature.
- Highly skilled in Python and one or more popular deep learning frameworks (TensorFlow or PyTorch).
- Within the range, individual pay is determined by work location and additional factors, including job-related skills, competencies, experience, market demands, internal parity, and relevant education or training.
- Your recruiter can share more about the specific salary range and perks and benefits for your location during the hiring process.
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This listing is sourced directly from Dolby Laboratories Inc.'s careers page and normalized into a canonical job model.