(Senior) ML DevOps Engineer

Overview

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, youll 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. Dolby offers a collegial culture, challenging projects, and excellent compensation and benefits, with a Flex Work approach that supports where, when, and how you do your best work.

Dolby Laboratories Inc. is seeking a Machine Learning Operations Engineer to join the Consumer Entertainment Group, to help bring the next generation of spectacular audio and video experiences to market. You will partner closely with research and development to establish machine-learning best practices and tools that maximize training and use of resources.

Responsibilities

• Troubleshooting high-performance computing, storage and networks for machine-learning workloads.
• Collaborate with research, development and engineering to establish machine-learning and data management workflows and supporting tools and processes that maximize machine-learning activities and use of resources.
• Improve capabilities of data set exploration, transformation and overall data management of large to very large datasets.
• Collaborate with research and development to proactively iterate and fine-tune model training for best performance and efficient use of machine-learning resources.
• Collaborate with infrastructure teams physical compute, storage and network infrastructure experts to improve on-premise and cloud infrastructure.
• Improve use of cloud compute and storage for global research teams and manage within budget.

Education and Experience

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