drjobs Dolby Careers Data & ML Infrastructure Engineer

Dolby Careers Data & ML Infrastructure Engineer

Employer Active

1 Vacancy
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

Wrocław - Poland

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

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. To do that we need the absolute best talent. Were 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 not to mention a Flex Work approach that is truly flexible to support 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

  • BS or MS degree in Computer Science or equivalent experience.

  • 4 years of professional practical hands-on experience in machine learning operations or equivalent.

  • Comprehensive knowledge of AWS and infrastructure-as-code techniques.

  • Advanced proficiency with Python Terraform Cloud Formation Ansible git and related.

  • Experience with machine learning and scaling workloads with both cloud and on-premise GPU server environments.

  • Experience with managing and coordinating storage of large machine learning data sets.

  • Proficiency in Kubernetes cluster design deployment and management.

  • Interest and understanding of industry trends in machine learning development techniques and tools and processes.

  • Comprehensive knowledge of continuous integration and continuous release processes and tools

Recommended

  • Exceptional understanding and practical experience in software and infrastructure configuration management with high-performance compute and storage and maximizing high-availability.

  • Active collaborator to help build positive community with researchers scientists and engineers around machine-learning operations and resources.

  • AWS resource management and provisioning.

Dolby Hiring Entity:

Dolby Poland Sp. z o.o.
Business Garden Building G
ul. Legnicka 48
Wrocaw 54-202 Poland

*LI-MS2

Employment Type

Full Time

Company Industry

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.