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

ELLIS; Tübingen; Vor Ort; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

A pioneering AI research team in Tübingen, Germany is seeking exceptional Machine Learning Engineers and Scientists. You'll design efficient pipelines for pre-training large language models, enhance model capabilities, and create evaluation frameworks. Requires an MSc degree in a computational field, expertise in Python, and a strong background in machine learning. Join us in shaping the future of open-source AI that respects European values.

Qualifikationen

• Finalized or close to completion MSc degree.
• Strong programming skills in Python.
• Track record in machine learning development.

Aufgaben

• Design and implement pipelines for pre-training large language models.
• Develop instruction-tuning methodologies.
• Create evaluation frameworks to benchmark model performance.
• Lead code reviews and mentor junior team members.
• Publish research and engage with the AI community.

Kenntnisse

Machine learning development

Python programming

Deep learning frameworks

Problem-solving

Ausbildung

MSc degree in computer science, mathematics, or related field

Tools

PyTorch

TensorFlow

JAX

Git

MLops platforms

Jobbeschreibung

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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