Applications are invited for the AI Research Intern at Dolby Studio, Bengaluru, Karnataka. Check the eligibility and other details below. The link will be active for only a limited time!
About Dolby Studio
Dolby Atmos is a suite of technologies for immersive audio having both horizontal and vertical sound placement, using a combination of channel and object-based mixing and delivery. It was first introduced in cinemas with Brave (2012 film).
For their research centre to blaze a trail in the latest technologies, they seek to foster the growth of a diverse pool of engineering talent and create a technology talent bank to drive research excellence worldwide.
Job Overview: AI Research Intern
- Advanced Technology Group (ATG) is the research and technology arm of Dolby Labs. It has multiple competencies that innovate technologies in audio, video, AR/VR, gaming, music, and movies.
- Many areas of expertise related to computer science and electrical engineering, such as AI/ML, computer vision, image processing, algorithms, digital signal processing, audio engineering, data science & analytics, distributed systems, cloud, edge & mobile computing, natural language processing, knowledge engineering and management, social network analysis, computer graphics, image & signal compression, computer networking, IoT are highly relevant to our research.
- Currently, Dolby Bangalore ATG team is looking for a talented, self-motivated Research Intern to investigate and develop machine learning technologies for auditory modeling.
- You will design, implement, and evaluate the machine learning algorithm with a good knowledge of machine learning, signal processing and basic knowledge of speech or audio processing.
- This position will be in the Dolby Bangalore office, reporting to Senior AI Researcher. You are required to come to the office at least 3 out of 5 working days per week.
Responsibilities
- Perform literature survey on existing methods.
- Ideate multiple potential solutions.
- Generate data required for the task.
- Develop appropriate models for the task.
- Implement ideas, generate test cases, and check performance of models on the test case.
- Document and present the methodology of experiments, methods developed, and results.
Required Skill Sets
- PhD or post-doc candidate in Computer Science, Electrical Engineering, Mathematics and Computing.
- Strong knowledge of deep learning, machine learning, signal processing, linear algebra, probability and statistics.
- Experience in Python, Numpy, PyTorch, Bash scripting, and Linux terminal commands.
- Nice to have:
- One or more published papers in well-established conferences or journals.
- Good communication skills for collaboration.
How to Apply?
Interested candidates can directly apply through this link.
Location
Bangalore
