Master’s thesis , Revolutionizing Database Query Optimization with Reinforcement Learning

myScience

  • Publication date:

    14 June 2024
  • Workload:

    100%
  • Contract type:

    Permanent position
  • Place of work:

    Zürich

Master’s thesis , Revolutionizing Database Query Optimization with Reinforcement Learning

Master’s thesis , Revolutionizing Database Query Optimization with Reinforcement Learning

IBM Zurich Research Laboratory
Published3 June 2024WorkplaceZurich, Zurich region, SwitzerlandCategory
Computer Science
Position
Trainee
Master’s project

Revolutionizing Database Query Optimization with Reinforcement Learning

Ref. 2024_009

For decades, generating optimal query plans for databases, especially distributed ones, has been a hard and yet unsolved problem. State-of-the-art methods struggle entering petabyte scale.

This is where advanced ML kicks in:

At IBM Research we are at the forefront of revolutionizing distributed query execution graphs, using Reinforcement Learning (RL), Deep Learning (DL), and Machine Learning (ML) to tackle this age-old challenge. Here’s your chance to be a part of it.

Required Skills

  • Passionate Python developer with a strong foundation in PyTorch
  • Knowledge of Ray, Apache Spark, PrestoDB, SQL, DB2 or PostgreSQL is a plus
  • Strong foundation in ML and DL
  • Knowledge of Deep Reinforcement Learning or willingness to learn
  • Academic writing skills


What’s in it for you

  • Work together with world leading experts
  • Enjoy the good vibes on the Zurich Research Lab campus in Rueschlikon
  • Use one of our largest GPU and BigData clusters to run your code


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

If you are interested in this position, please submit your application through the link below.
In your application, please refer to myScience.ch and referenceJobID64612.