Research Associate working on training large language models at the Fraunhofer Institute. Engaging in innovative solutions and collaboration within the natural language processing team.
Responsibilities
You contribute to the training and optimization of large language models.
You develop advanced techniques in areas such as preference optimization, model distillation, parameter-efficient fine-tuning as well as multimodal extensions of LLMs.
You drive innovative enterprise solutions across a wide range of tasks and domains.
You communicate and coordinate activities with project partners and both internal and external stakeholders.
Requirements
A degree preferably with a PhD or 3+ years of professional experience in computer science, computational linguistics, or in a related discipline.
Strong foundation in machine learning and modern neural network architectures.
Solution-oriented thinking and collaborative mindset.
Practical experience with common machine learning frameworks for training LLMs.
Proficiency in Python development.
Excellent communication skills in English.
Benefits
Our inspiring culture: We want our colleagues to feel comfortable. Therefore, we constantly strive to ensure a friendly and supportive working atmosphere within our international team.
Exciting projects: We provide exciting ventures and new experiences in highly innovative key industries.
Room for creativity: We want to give our colleagues a generous amount of creative freedom so that they can contribute and develop their own ideas.
Career development: With top-of-the-range company equipment and regular training, we aim to provide the best possible working conditions and continuing education opportunities for our colleagues.
Flexible working hours: We make it easy for our colleagues to find a comfortable balance between their private and professional lives.
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