Research Scientist - Systems & AI Infrastructure

ZipRecruiter; City of Edinburgh; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading recruitment platform in the UK is seeking multiple contract Research Scientists to conduct research in AI and computer systems. Ideal for recent PhD graduates or top B.Sc. or M.Sc. graduates, this role involves prototyping, performance optimization, and academic publications. Applicants should have a strong background in systems and programming skills in C/C++. The position offers a unique opportunity in an industrial research setting.

Qualifications

• Bachelor's or Master's degree in Computer Science or a related technical field.
• Comfortable with research methodology.
• In-depth understanding of operating systems and/or distributed systems and/or cloud computing and/or machine learning algorithms.
• Good programming skills, master of at least one, such as C/C++.
• Good communication and teamwork skills.

Responsibilities

• Collaborate to develop and test proof-of-concept prototypes.
• Perform detailed profiling and optimization of systems.
• Transform research findings into high-impact publications.
• Create and maintain technical documentation.
• Communicate research progress and outcomes to stakeholders.

Skills

Research methodology

Operating systems

Distributed systems

Cloud computing

Machine learning algorithms

Programming in C/C++

Communication

Teamwork

Education

Bachelor's or Master's degree in Computer Science

PhD in relevant field (desired)

Job description

Job Description

We are looking to hire several contract Research Scientists with expertise in computer systems and AI infrastructure to conduct cutting-edge research at the intersection of computer systems, machine learning, and distributed systems. These roles are ideal for recent PhD graduates seeking industrial research experience, or for exceptional B.Sc. or M.Sc. graduates looking to deepen their research skills in an industry setting. We welcome applicants with backgrounds in one or more of the following areas: operating systems, distributed systems, and machine learning systems.

Key Responsibilities:

• Rapid Prototyping: Collaborate with a multidisciplinary team to quickly develop and test proof-of-concept prototypes, validating research ideas in real-world, industrial environments.
• Performance Optimization: Perform detailed profiling and optimization of operating systems and large-scale distributed systems, leveraging a range of heterogeneous hardware (e.g., CPU, NPU) for enhanced performance.
• Research Publications: Transform research findings and innovative contributions into high-impact publications in top-tier academic journals and conferences.
• Technical Documentation: Create and maintain comprehensive technical documentation outlining research methods, design decisions, and implementation specifics to ensure reproducibility and support internal knowledge sharing.
• Stakeholder Engagement: Communicate research progress, performance insights, and key outcomes to internal stakeholders through clear and engaging presentations.

Required:

• Bachelor's or Master's degree in Computer Science or a related technical field.
• Be comfortable with research methodology.
• Have an in-depth understanding of operating systems and/or distributed systems and/or cloud computing and/or machine learning algorithms.
• Good programming skills, master of at least one , such as C/C++.
• Good communication and teamwork skills.

Desired:

• PhD in operating systems, distributed systems, machine learning, or a related field.
• Published papers in top journals/conferences focused on systems (NSDI, EuroSys, SoCC, OSDI etc.) and/or machine learning (NeurIPS, ICML, ICLR).
• Experience in the full lifecycle of developing, deploying, and maintaining large-scale cloud production systems, demonstrating expertise in scalability, reliability, and performance optimization.