Working Student Machine Learning (all genders)
Avelios Medical6 months ago
Munich, GermanyIntern
Responsibilities
- Collaborate with the core development team to bring machine learning into production.
- Support the design and training of ML models on large-scale clinical datasets.
- Assist with integrating LLM, ASR, RAG, embedding, and other AI solutions into medical workflows.
- Evaluate, benchmark, and fine-tune existing models for clinical use cases.
- Explore federated machine learning frameworks for privacy-preserving model training.
- Collaborate with academic and research institutions.
- Contribute to the reliability, performance, and quality of AI features in production.
- Use high-performance computing infrastructure to build robust ML pipelines.
Requirements
- Currently enrolled in Informatics, Computer Science, or a related field.
- Strong coding background, especially in Python.
- Exposure to PyTorch, Hugging Face, LangChain, or Pydantic, including LLMs, ASR models, or RAG pipelines with vector databases such as Qdrant.
- Genuine interest in applying new technologies to real-world challenges.
- Fluency in English; German is a plus.
- GitHub contributions are a plus.
- Publications at top conferences or demonstrated cutting-edge applied ML results, such as in speech recognition or NLP, are a plus.
Benefits
- Flexible working hours.
- Personal development support through continuous learning and feedback.
- High chances of transitioning to a full-time role if the collaboration is successful.
- International and informal team structure in a motivating startup environment.
- Hands-on experience at a startup backed by leading international venture capital firms.
- Monthly meal allowance of up to 75 euros and Corporate Benefits discounts.
- Varied tasks, ownership opportunities, and access to high-performance computing infrastructure.