Intern Machine Learning (all genders)
At a glance
Junior Machine Learning Engineering role at Avelios Medical. Munich · internship.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Help move machine-learning systems from development into production with the core engineering team
- Assist with training models on clinical data and assessing or refining them for medical use cases
- Help connect LLM, speech-recognition and retrieval-based AI to practical clinical workflows
- Explore privacy-preserving federated learning and work with academic research partners
- Build dependable ML pipelines using high-performance computing resources
What you bring
- You are enrolled in computer science, informatics or a related discipline
- You have strong programming skills, especially in Python
- You have exposure to ML frameworks and areas such as LLMs, speech recognition or retrieval pipelines
- You can work fluently in English
Who this fits
This internship suits a student seeking hands-on machine-learning work, from model evaluation to production integration. The role is based on-site in Munich. German is a plus, and successful collaboration may lead to a full-time role.
From the employer
ABOUT US
Our mission at Avelios is to unlock clinical data to power seamless healthcare operations for better patient care. To do so, we have built a modular software platform that digitizes and optimizes workflows in hospitals with cutting-edge technology in a user-friendly way. With our software, we enable hospitals, doctors & nurses to provide their patients with the best possible care.
We are growing fast and want to keep expanding our team and business to fundamentally digitize healthcare for the better. We appreciate different backgrounds and see diversity as one of our strengths.
THE TEAM AND ROLE
As an Intern Machine Learning (all genders), you will support the integration of intelligent systems into real-world clinical environments. Collaborating with our interdisciplinary development teams, your role will focus on contributing to bringing state-of-the-art models (LLMs, ASR, and more) into production and embedding them directly into Avelios software to improve everyday medical workflows. This is a unique opportunity to shape how AI transforms the way clinicians work.
YOUR RESPONSIBILITIES
Collaborate with our core development team to bring machine learning into production
Support the design and training of ML models on large-scale clinical datasets
Assist with the integration of AI-powered solutions (LLMs, ASR, RAG, Embeddings, and more) into real medical workflows
Support the evaluation, benchmarking, and fine-tuning of existing models for clinical use cases
Explore Federated Machine Learning frameworks for privacy-preserving model training
Collaborate with leading academic and research institutions
Contribute to the reliability, performance, and quality of AI features in production
Leverage access to high-performance computing infrastructure to build robust ML pipelines
YOUR QUALIFICATIONS
Currently enrolled in Informatics, Computer Science, or a related field
Strong coding background, especially in Python
Exposure to ML frameworks such as PyTorch, HuggingFace, LangChain, or Pydantic, including LLMs, ASR models, or RAG pipelines with vector databases (e.g. Qdrant)
Genuine interest in new technologies and their application to real-world challenges
Fluency in English, German is a plus
NICE TO HAVE
GitHub contributions
Publications at top conferences or demonstrated cutting-edge results in applied ML (e.g. Speech Recognition or NLP)
YOUR BENEFITS
Variety in your tasks and the opportunity to take ownership
Flexible working hours
Support for your personal development through continuous learning and feedback and high chances to transition into a full-time role if the collaboration is successful
An international, informal team structure in a motivating start-up atmosphere, allowing you to participate directly in our customer growth story and the overall success of Avelios
Ability to gain valuable hands-on experience in a startup backed by leading international VCs
A monthly meal allowance up to 75 euros, and Corporate Benefits that give you access to discounts from a wide range of providers in various areas