Data & ML Infrastructure Engineer

We are seeking a highly motivated and skilled Data & ML Infrastructure Engineer to join our talented team at Dolby Laboratories. As a global leader in audio and entertainment technology, Dolby is dedicated to creating immersive and innovative experiences for our customers. In this role, you will have the opportunity to work alongside a dynamic team of engineers and data scientists, building and maintaining the infrastructure that supports our cutting-edge data and machine learning initiatives. We are looking for someone who is passionate about data and technology, has a strong drive for problem-solving, and is eager to make an impact in the world of entertainment. If you have a strong background in data engineering and machine learning, and are excited about the potential of data-driven solutions, we encourage you to apply.

1. Develop and maintain the infrastructure for data and machine learning initiatives at Dolby Laboratories.
2. Collaborate with a team of engineers and data scientists to design and implement scalable and efficient data pipelines.
3. Troubleshoot and optimize existing infrastructure to ensure smooth and reliable operation.
4. Build and maintain tools and frameworks to support data processing, storage, and analysis.
5. Work closely with cross-functional teams to understand business needs and translate them into technical requirements.
6. Stay updated on the latest advancements in data engineering and machine learning technologies and recommend improvements to the existing infrastructure.
7. Ensure data security and compliance with privacy regulations.
8. Create and maintain documentation for infrastructure processes and procedures.
9. Communicate effectively with team members and stakeholders to provide updates on project progress and address any issues.
10. Utilize data visualization tools to present findings and insights to non-technical stakeholders.
11. Participate in code reviews and provide constructive feedback to peers.
12. Mentor and train junior team members on data engineering and machine learning best practices.
13. Identify and recommend opportunities for automation and process improvement.
14. Proactively identify and troubleshoot any data-related issues.
15. Collaborate with IT and other departments to ensure smooth integration of data infrastructure with other systems and processes.
16. Adhere to project timelines and deliver high-quality work within designated deadlines.

According to JobzMall, the average salary range for a Data & ML Infrastructure Engineer in Wrocław, Poland is between 8,000 PLN to 14,000 PLN per month. This equates to approximately $2,100 USD to $3,700 USD per month. However, salaries may vary depending on the specific company, experience level, and skills of the individual.

Dolby Laboratories (NYSE: DLB) is based in San Francisco with offices in over 20 countries around the globe. Dolby transforms the science of sight and sound into spectacular experiences. Through innovative research and engineering, we create breakthrough experiences for billions of people worldwide through a collaborative ecosystem spanning artists, businesses, and consumers.