Snabbfakta
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- Edinburgh
Ansök senast: 2024-12-13
Machine Learning Research Engineer, System Infrastructure
Publicerad 2024-10-14
Machine Learning Research Engineer, System Infrastructure
Edinburgh, UK
IC Resources is seeking a Machine Learning Research Engineer with a focus on large-scale system infrastructure to join our client's research team in Edinburgh. The successful candidate will work on cutting-edge projects at the intersection of systems engineering and machine learning, contributing to the future of data center infrastructure.
Primary Responsibilities:
- Research and prototype development focusing on the integration of machine learning within system infrastructures.
- Contribute to system design, analysis, and development of solutions, with a strong focus on machine learning applications.
- Design and implement key technologies and algorithms related to time series analysis, optimisation, and machine learning systems.
- Collaborate with cross-functional teams to drive innovation and enhance system performance in data center and cloud applications.
- Engage with academic and industry leaders, and contribute to open-source projects to help shape the technological landscape.
- PhD in operating systems, distributed systems, machine learning, or a related discipline.
- Top publications focused on systems (NSDI, EuroSys, SoCC, OSDI etc.) and ML (NeurIPS, ICML, ICLR).
- Strong knowledge of system design and implementation for machine learning workloads.
- Expertise in operating systems, distributed systems, cloud computing, and machine learning algorithms.
- Proficiency in at least one programming language such as C/C++, Go, or Python.
- Familiarity with systems for machine learning, time series analysis, and optimisation.
- Experience developing and maintaining large-scale cloud production systems.
- Competitive salary and benefits including private medical insurance, pension, and life insurance.
- Opportunities for professional development, including additional time off for learning and development.
- Cycle to work scheme, social events, and employee assistance programs.
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