Internship in Continual Learning for GenAI
Internship in Continual Learning for GenAI
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Salary Not Disclosed
1 Vacancy
Job Description
This internship is part of a research effort on continual learning for GenAI methods. The aim is to set up and evaluate experiments that explore how these models can incorporate new knowledge without forgetting prior information ultimately establishing a new insight into continual learning and setting the baseline for novel methods.
- You will analyze existing continual learning benchmarks and potentially prepare and curate datasets for a novel benchmark.
- Additionally you will implement training loops data loaders evaluation metrices and continual learning algorithms in PyTorch.
- Finally you will document experimental setups methodology and findings to support reproducibility and future research efforts.
Qualifications :
- Education: Master studies in a relevant field
- Experience and Knowledge: strong knowledge of Python and PyTorch; solid foundation in machine learning and neural networks; experience with continual learning and GenAI is a plus
- Personality and Working Practice: a selfmotivated communicative innovative and dedicated person who is able to work independently
- Enthusiasm: interest in advancing machine learning research
- Languages: fluent in English German is an advantage
Additional Information :
Start: according to prior agreement
Duration: 6 months
Requirement for this internship is the enrollment at university. Please attach your CV transcript of records enrollment certificate examination regulations and if indicated a valid work and residence permit.
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore we welcome all applications regardless of gender age disability religion ethnic origin or sexual identity.
Need further information about the job
Matthias Neuwirth (Functional Department)
#LIDNI
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
