Research Scientist - AI infra

Job Summary:

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. 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.
  
  Person Specification:
  
  List details of Knowledge, Skills, Experience and Qualifications needed to do the job:
  
  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 language, 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