Research Analyst developing quantitative analyses on the Chinese energy market for clients. Enjoy autonomy and engagement opportunities in a supportive environment.
About the role
- 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.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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