Senior Machine Learning Engineer for Distributed Systems

hace 12 horas


Barcelona, Barcelona, España Telefónica, S.A. A tiempo completo

Telefónica, S.A. is a leading industrial research lab based in Barcelona, Spain. Our aim is to conduct cutting-edge research studies on mid to long-term topics related to systems and networks.

About the Role

We are seeking a talented Senior Machine Learning Engineer to strengthen our research efforts in distributed systems. As a key member of our team, you will be responsible for designing, developing, and deploying novel algorithms and methodologies to improve system and network efficiency, reliability, and scalability.

Responsibilities:
  • Conduct in-depth research on machine learning systems and/or network design, architecture, and performance optimization to address complex engineering challenges.
  • Collaborate with cross-functional teams to define system/network requirements and design specifications.
  • Design and conduct experiments to evaluate machine learning models and system/network performance, collect and analyze data for actionable insights.
  • Develop and optimize machine learning models and pipelines using state-of-the-art techniques, libraries, and frameworks.
  • Stay up-to-date with the latest advancements in centralized and distributed machine learning computing technologies.
Requirements:
  • Bachelor's, Master's, or Ph.D. in Computer Science, Telecommunication, Machine Learning, Systems Networking, or other related fields.
  • Strong knowledge and experience in development of high-quality code for research in distributed machine learning.
  • Strong background in machine learning systems engineering, including experience with ML system design, ML model architecture, ML performance analysis, and optimization.
  • Proficiency in programming languages such as Python, Java, C/C++, and familiarity with software implementation practices.
What We Offer

As a valued member of our team, you can expect a competitive salary of €80,000 per year, plus a range of benefits including flexible work arrangements, continuous learning opportunities, and access to cutting-edge technology.



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