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Urgent! Data & ML Infrastructure Engineer Job Opening In Wrocław – Now Hiring Dolby Laboratories
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, 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.
✨ Smart • Intelligent • Private • Secure
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Unlock Your Data ML Potential: Insight & Career Growth Guide
Real-time Data ML Jobs Trends in Wrocław, Poland (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data ML in Wrocław, Poland using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 1636 jobs in Poland and 110 jobs in Wrocław. This comprehensive analysis highlights market share and opportunities for professionals in Data ML roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Dolby Laboratories is currently hiring and seeking a Data & ML Infrastructure Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Data & ML Infrastructure Engineer Jobs Wrocław.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Dolby Laboratories adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data & ML Infrastructure Engineer Jobs Poland varies, but the pay scale is rated "Standard" in Wrocław. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data & ML Infrastructure Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Data & ML Infrastructure Engineer interview at Dolby Laboratories, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Dolby Laboratories's products or services and be prepared to discuss how you can contribute to their success.
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