Research Scientist

Next-Gen Data and AI Platforms

Ref. 2025_016

About the Role

AI is nothing without data. Our team is shaping the future of data processing for AI systems, creating self-optimizing platforms that deliver exceptional cost/performance and are effortless for users. We work at the intersection of research and real-world impact -- developing new methods, implementing them in widely used open-source projects, and supporting production teams to bring them to our customers.
This role offers the opportunity to:

• Conduct applied research on distributed data processing, storage, and optimization.
• Contribute innovations to major open-source systems (e.g., Apache Spark, Iceberg, Parquet, Velox).
• Publish at top-tier systems and data conferences (e.g., OSDI, EuroSys, VLDB).
• Collaborate with a diverse, global team across Europe, Africa, America, and India.
• Translate research ideas into high-impact software used in AI pipelines worldwide.

What we are looking for
An expert at the intersection of AI and data processing systems, leveraging machine learning to tackle system-level optimization challenges. You approach problems holistically, analyzing and addressing issues across the entire technology stack.

Minimum Qualifications

• Master’s degree in Computer Science, Systems, AI or a closely related field.
• Experience writing code for distributed data processing systems (e.g., Apache Spark, Presto).
• Strong interest in applying AI/ML techniques to optimize database and data-processing systems.
• Proficiency in C++ and Java or Scala.
  

Preferred Qualifications

• PhD in Computer Science, Systems, AI or a closely related field.
• Experience with data management systems.
• Experience in using ML/AI to optimize database and data-processing systems.
• Experience with various data formats (e.g., Parquet, Iceberg, Arrow).
• Contributions to a large-scale open-source projects, e.g. Spark, Presto, Velox, ...
• Familiarity with GPU acceleration for data processing.
• Track record of performance optimization in distributed systems.
• Prior publications in top-tier venues.
  

Diversity

IBM is committed to diversity at the workplace. With us you will find an open, multicultural environment. Excellent flexible working arrangements enable all genders to strike the desired balance between their professional development and their personal lives.

How to apply

Please submit your application through the link below.

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