Senior Systems Research Engineer - Research Engineering - MSR Cambridge

## About the role * Combine strengths in computer systems research, and software engineering competence to contribute to the design and prioritisation of research activities. * Build prototypes of future AI systems to demonstrate research value, in some cases bringing these prototypes all the way to product-level readiness. * You like getting things done. * Evaluate research prototypes and help write up results to communicate outcomes clearly. * Collaborate with researchers and product teams, helping with smooth technology transfer between them. * Reinforce a positive environment by applying best practices and high-quality engineering standards. * Gain deep expertise in one (or more) subareas of research, and general understanding of a broad area. * Understand the relevant literature and applicable research techniques. * Contribute to academic publication of research outcomes. * Proactively ensure high standards of software security over research prototypes and library supply chains. * Understand and follow ethics and privacy policies relating to research processes and data handling, as appropriate. ## Requirements * Required Masters degree in Computer Science or related area, or equivalent training and experience in research. * Proficient in collaborative software development in Python and lower-level languages. * Experience with one or more of operating systems, performance analysis, distributed systems, CPU and GPU architecture, or machine learning systems. * Experience of low-level systems and/or performance tuning trade-offs. * Excellent communication skills in English, both written and spoken, including the skill to communicate technical results and justify assumptions to diverse technical audiences. * Willingness and flexibility to operate in a highly agile and dynamic environment. * Demonstrated ability to work within large codebases. ## Nice to have * Doctorate (PhD) in Computer Science or related area, or equivalent training and experience in research. * Experience of cluster-based distributed data processing techniques. * Experience with the internals of machine learning systems. * Demonstrated experience working within a multi-disciplinary team.