Memory Leak Detection via Machine Learning Expert
2 weeks ago
Description
Axis Communications is calling on motivated researchers with a strong background in machine learning to contribute to the development of AI-powered memory leak detection tools.
Category
Computer science, Machine learning
Scope
This thesis project involves the application of machine learning techniques to improve the efficiency and accuracy of memory leak detection in our codebase.
Background
Our codebase consists of millions of lines of code, making it challenging to identify memory leaks early on. Despite rigorous testing, we still experience memory leaks that can negatively impact customer experience and productivity.
Goal
The primary objective of this thesis is to explore the feasibility of using existing large language models (LLMs) for memory leak detection and to evaluate the potential benefits of fine-tuning these models on a dataset generated from our codebase.
Who are you?
We are seeking students with a strong interest in machine learning and a solid understanding of programming concepts.
Requirements
To be eligible for this thesis, you must be a student affiliated with a Swedish university or college and have a solid background in machine learning.
What do I do now?
If you are interested in this thesis opportunity, please submit your application via the proposal advert. You are required to attach your CV and university/college grade summary.
Who to contact for any questions regarding the position
Ognyan Tonchev
Type of Employment
Temporary Employment (Fixed Term)
Certain roles at Axis Communications require background checks, which means applicable verifications will be done in these recruitments. Notice will be provided before we take any action.
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