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Senior Research Engineer
2 months ago
We are seeking a highly skilled PhD Research Intern to join our Advanced Technology Group at Dolby. As a valued member of our team, you will have the opportunity to define and lead your own pioneering research project that connects big-picture change with the meticulous detail of technological innovation.
Key Responsibilities- Conduct cutting-edge research in multimodal technologies, including machine perception and reasoning, computer vision, speech/audio processing, and natural language processing.
- Develop and train multimodal deep learning architectures to drive next-generation experiences.
- Collaborate with our team of experts to explore exciting domains such as AI/ML, algorithms, digital signal processing, audio processing, image processing, computer vision, AR/VR, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
- Design and implement innovative solutions to enhance the human experience through audio, video, and cloud technologies.
- PhD students in Artificial Intelligence, Electrical Engineering, Computer Science, Bioengineering, Neuroscience, or related field.
- Proven ability to pursue new areas of multimodal research for AI, data analysis, or neuroscience and demonstrate results through projects, prototypes, patent filings, and papers in peer-reviewed journals and conferences.
- Experience as a researcher, including internships, full-time, or at a lab.
- Experience with one or more programming languages (e.g., Python, C/C++, MATLAB, etc.).
- Creating demos and prototypes for research applications.
- Working with frameworks like PyTorch or TensorFlow.
- Developing and training multimodal deep learning architectures.
- Writing technical reports and/or publications.
- First-author publications at peer-reviewed conferences or journals.
Dolby is a leader in entertainment innovation, and our Advanced Technology Group is the research division of the company. We are committed to making employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, gender identity, national origin, religion, marital status, family status, medical condition, disability, military service, pregnancy, childbirth and related medical conditions or any other classification protected by federal, state, and local laws and ordinances.