Machine Learning Engineers and Scientists (OpenEuroLLM) at ELLIS Institute Tübingen

We are pioneering the development of a family of state-of-the-art open large language models designed specifically for European languages. Our mission is to create accessible, powerful AI technology that respects European values, regulations, and multilingual needs.

The Role:

We're seeking exceptional Machine Learning Engineers and Scientists to join our team and help shape the future of open-source AI in Europe. You'll work at the cutting edge of language model development, collaborating with talented peers across Europe to build, optimize, and deploy models that serve diverse European communities.

Key Responsibilities:

Design and implement efficient pipelines for pre-training large language models at scale

Develop instruction-tuning methodologies to enhance model chat capabilities

Create comprehensive evaluation frameworks to benchmark model performance across multiple dimensions, such as multi-linguality, reasoning or common sense question / answering.

Lead code reviews and provide technical mentorship to junior team members

Represent our research by publishing at top-tier AI conferences, contribute to open-source projects, and engage with the wider AI community

Requirements:

A finalized or close to completion MSc degree, in computer science, mathematics, physics, or another discipline with a strong computational component.

Track record in machine learning development demonstrated through contributions to notable open-source projects or significant industry experience

Strong programming skills in Python with an emphasis on clean, maintainable code

Proficiency in deep learning and at least one deep-learning framework (PyTorch, TensorFlow, or JAX)

Experience with bash scripts, git, MLops platforms (e.g Weights and Biases)

Excellent problem-solving abilities and attention to detail

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