Research Associate (all genders) - Large Language Models

Fraunhofer IIS; Erlangen; Vor Ort; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

A leading research institute in Erlangen is seeking a dedicated expert to join their natural language processing team. You will train large language models and develop innovative methods for improvement while engaging with project partners. Candidates should possess a PhD or substantial experience in computer science, alongside strong machine learning skills and proficiency in Python. The position offers opportunities for creativity and career development in a supportive international team.

Leistungen

Friendly and supportive working atmosphere

Flexible working hours

Career development opportunities

Qualifikationen

• PhD in computer science or 3+ years of relevant experience.
• Strong foundation in machine learning and modern neural networks.
• Practical experience in training large language models.

Aufgaben

• Contribute to the training and optimization of large language models.
• Develop advanced techniques for model enhancement like preference optimization.
• Drive innovative enterprise solutions across various tasks.
• Coordinate activities with project partners and stakeholders.

Kenntnisse

Machine learning

Neural network architectures

Python development

Communication skills

Ausbildung

PhD or 3+ years of experience in computer science or related discipline

Tools

Machine learning frameworks

Jobbeschreibung

Overview

The Fraunhofer-Gesellschaft operates 75 institutes and research institutions throughout Germany and is the world’s leading applied research organization. Around 32 000 employees work with an annual research budget of 3.4 billion euros. The Fraunhofer Institute for Integrated Circuits IIS, located in Erlangen, is the largest institute of the Fraunhofer-Gesellschaft with more than 1 200 employees. Welcome to the Fraunhofer Institute for Integrated Circuits IIS, headquartered in Erlangen! As the largest institute within the Fraunhofer-Gesellschaft, we have been conducting research for over 30 years in diverse fields such as artificial intelligence, microelectronics, sensor systems, data acquisition, signal processing, and signal transmission.

Talented individuals from various engineering and natural science disciplines will find a wide range of exciting research topics under one roof. Highlights include neuromorphic computing, 5G/6G mobile communication technologies, generative AI in speech and signal processing, and X-ray imaging for e-mobility.

What sustainable solution will you find with us?

Are you passionate about the capabilities and potential of large language models?

Join us in shaping the exciting world of conversational AI.

Here's How You Will Make a Difference

For over 30 years, the institute’s Audio and Media Technologies division has been shaping globally deployed standards and technologies in the fields of audio and moving picture production. Almost all consumer electronic devices, computers and mobile phones are equipped with systems and technologies from Erlangen today.

As a member of the natural language processing team, your work will involve:

• Training and Refinement of LLMs: You contribute to the training and optimization of large language models.
• Development of Innovative Methods for Model Enhancement: You develop advanced techniques in areas such as preference optimization, model distillation, parameter-efficient fine-tuning, as well as multimodal extensions of LLMs.
• Promotion of Creative Business Solutions Across Various Areas: You drive innovative enterprise solutions across a wide range of tasks and domains.
• Engagement and Collaboration with Project Partners and Stakeholders: You communicate and coordinate activities with project partners and both internal and external stakeholders.

What You Bring To The Table

• 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.

What You Can Expect

• Our inspiring culture: We want our colleagues to feel comfortable. Therefore, we 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 offer a generous amount of creative freedom so that colleagues can contribute and develop their own ideas.
• Career development: With top-of-the-range company equipment and regular training, we provide the best possible working conditions and continuing education opportunities.
• Flexible working hours: We help colleagues find a comfortable balance between private and professional life.

The position is initially limited to 2 years with the aim to extend it subsequently. The weekly working time is 39 hours.

Diversity and Remuneration

We value and promote the diversity of our employees' skills and therefore welcome all applications, regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Appointment, remuneration and social security benefits are based on the public-sector collective wage agreement (TVöD).

About Fraunhofer

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.

Ready for Change?

Then apply now and make the difference.

Do you have questions about the application process? Our recruiter Claudia Kestler-Böhm will be happy to assist you: [phone].

Fraunhofer Institute for Integrated Circuits IIS

www.iis.fraunhofer.de