Research Scientist, AI Infrastructure

Technology, Data & Digital · Data, AI & Analytics · Data Science · Software Engineering

In short

Microsoft Research Cambridge is looking for a Research Scientist to conduct fundamental research on AI infrastructure systems, including distributed systems, programming languages, and machine learning systems. The role involves designing, prototyping, and evaluating new systems and abstractions to improve performance, scalability, and efficiency for future AI workloads.

Responsibilities

  • Conduct original research on the systems foundations of future AI infrastructure and large-scale computing platforms.
  • Design new abstractions, architectures, runtimes, and systems that improve the performance, scalability, efficiency, reliability, and programmability of emerging AI workloads.
  • Build research prototypes and experimental platforms that explore future directions for AI infrastructure.
  • Evaluate ideas through rigorous analysis, large-scale experimentation, and real-world workloads.
  • Collaborate with researchers and engineers across Microsoft Research and product groups to shape long-term research directions and transfer research into practice.
  • Publish high-quality research in top-tier venues.
  • Contribute to an open, collaborative, and multidisciplinary research environment.

Requirements

  • PhD (or equivalent research experience) in Computer Science or a related discipline.
  • Strong research track record in computer systems or a closely related area.
  • Demonstrated ability to conduct independent research and communicate results through publications, prototypes, or other impactful outcomes.
  • Research expertise in one or more of these core systems areas: distributed computing, networking, memory, programming languages, machine learning systems, computer architecture, databases, or related fields.
  • Ability to work effectively across disciplinary boundaries and collaborate with diverse research and engineering teams.

Desired Qualifications

  • Research experience spanning multiple layers of the computing stack.
  • Experience working at the intersection of systems and machine learning, systems and programming languages, or systems and hardware.
  • Interest in developing future infrastructure for AI workloads, including reasoning, inference, memory, data processing, agentic systems, and large-scale distributed execution.
  • Experience translating research ideas into deployable systems, tools, or platforms.
  • Strong publication record in leading venues such as SOSP, OSDI, NSDI, SIGCOMM, EuroSys, ASPLOS, FAST, MLSys, PLDI, POPL, ISCA, MICRO, or related conferences.
  • Demonstrated leadership in building collaborations and shaping research agendas.

Benefits

  • The typical base pay range for this role across United Kingdom is £ 74,700.00 - £ 122,600.00 per year.
  • Certain roles may be eligible for benefits and other compensation.

Skills

Distributed ComputingProgramming LanguagesNetworkingMachine Learning SystemsComputer ArchitectureDatabases
#AI#Machine Learning#Systems Research#Distributed Systems#Computer Science
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Company

Microsoft

Job Posted

5 days ago

Employment Type

Full Time

Work mode

Hybrid

Salary

£74,700 – £122,600 · Negotiable

Experience Level

Senior

Locations

Cambridge, United Kingdom

Qualification

Doctoral, Master, Bachelor, Undergraduate

Applicants

Be an early applicant