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Job Location: The Great Bharat
Job Detail:
Join the leader in entertainment innovation and help us design the future. 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 revolutionize how people create, deliver, and enjoy entertainment worldwide. To do that, we need the absolute best talent. 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. We offer a collegial culture, challenging projects, and excellent compensation and benefits.
Play a key role as part of Dolby’s new R+D Center in Bangalore as an ML Optimization Engineer in our Advanced Technology Group ATG. 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.
What you’ll do
A Deep Learning Optimization Engineer is responsible for designing and implementing optimization strategies for deep learning models. This may include selecting and implementing appropriate algorithms, such as gradient descent and backpropagation, as well as fine-tuning model hyperparameters to improve performance. The engineer may also work on developing custom optimization techniques for specific applications and analyzing model performance using metrics such as accuracy and loss. Additionally, the engineer may work with other team members, such as data scientists and software engineers, to integrate the optimized models into production systems.
What you need to succeed
Competencies
- Technical depth: Necessary technical knowledge in web technologies for real time just in time processing. Basic knowledge on Audio/Video formats.
- Explore new technologies : Openness to learn new areas and innovate in the new areas.
- Invent & Innovate: Develop short and long-term technologies, algorithms and software tools that will help make Dolby a world leader in enhancing the sight and sound associated with digital content consumption. Then influence and collaborate with BG partners put the technology into production.
- Work with a sense of Urgency: Responds aggressively to changing trends and new technologies and creates new algorithms to capitalize on them. Takes appropriate risks to be ahead of the competition and the market.
- Collaborate: Collaborate with and influence peers in developing industry-leading technologies. Work with external trendsetters and technology drivers in academia and in partner enterprises.
Key Responsibilities:
- Design and implement optimization strategies for deep learning models
- Select and implement appropriate algorithms and fine-tune model hyperparameters
- Develop custom optimization techniques for specific applications
- Analyze model performance using metrics such as accuracy and loss
- Work with other team members to integrate optimized models into production systems
Desired Background
- BS or Advanced Degree in an engineering or other technical field (computer science, engineering, or equivalent)
- Strong background in deep learning and optimization techniques
- 3 years of experience with frame works such as PyTorch/Onnx/TensorFlow/etc
- 2 years of experience optimization ML models for Inference using hardware acceleration
- 3 years of experience with programming languages such as Python, C/C++, or Java
- Experience with model deployment in a production environment is a plus
- Strong analytical and problem-solving skills
- Strong communication skills and ability to work well in a team environment
- LI-SB1
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