Research Engineer In Multi-modal Open-Source Foundation Models

Short Description

Join a groundbreaking project to develop next-generation, open-source multi-modal foundation models. Collaborate with top research labs and experts to create transparent, efficient, high-performing models with novel capabilities that democratize access to AI. Apply now!

Description

We are seeking a highly motivated software engineer to join our research team in an ambitious 4-year project on next-generation multimodal, open-source foundation models. You’ll be part of an excellent team of scientists, covering the full spectrum from model development to evaluation and real-world use cases.

Snapshot

Artificial Intelligence is reshaping our world. Now you get to shape AI. This large and ambitious project aims to develop a groundbreaking family of advanced, multilingual, open source foundation models based on solid research on model architecture, data quality, scaling, generalizability, finetuning, and safety. It combines the unique expertise of leading AI companies and top academic labs to create models with stronger generalization and finetuning capabilities, as well as enhanced transparency and safety. This will be an inclusive, community-driven project designed to and foster a new wave of innovation and scientific advancement.

The team

The Automated Machine Learning team at TU Eindhoven focusses on cutting-edge research to advance the capabilities of machine learning models, while also democratizing AI and leveraging it to help humanity. We are a team of scientists and engineers who aim to deeply understand, explain, and build AI systems that learn continually and automatically assemble themselves to learn faster and better. In addition to producing highly-cited research published at top academic venues, we build models and systems that are widely used by people every day. Learn more about us here: https://openml-labs.github.io. This work is part of a large and talented team with world-class labs and experts across Europe, supported by well-known companies with advanced knowledge of LLM development.

The role

We are looking for an exceptional research engineer with a passion for AI and open-source development. In this role, you will design and build cutting-edge tools and software that will shape the future of foundation models, used by millions of people worldwide. We appreciate a strong empirical and theoretical understanding of deep learning.

Key responsibilities:

• Develop and implement scalable, efficient model architectures and fine-tuning techniques.
• Design and implement benchmarks and evaluation tools to evaluate AI capabilities.
• Optimize training processes and contribute to the development of innovative LLM systems with real-world applications.
• Create and tools for continuous evaluation, monitoring, and visualization of training progress.
• Collaborate with a team of researchers to tackle challenging technical problems and publish in top venues.

What we’re looking for

A motivated and skilled software engineer passionate about open source development and building high-quality, highly scalable AI systems as part of a team. Experience with machine learning, MLOps, foundation models, or LLMs is a strong plus.

Impact

This is your chance to make a real-world impact by advancing open-source large language models while collaborating with leading AI researchers and innovative AI companies. Gain invaluable new skills as you help democratize AI, develop cutting-edge models, and create more efficient fine-tuning techniques that empower responsible innovation and drive scientific progress.

This research will be performed under the supervision of professor Joaquin Vanschoren, in collaboration with several key European research labs and industrial partners.

Job requirements

• A master’s degree (or an equivalent university degree) in Computer Science or a related field.
• Strong programming skills in languages like Python and experience with ML frameworks (e.g., PyTorch, TensorFlow).
• A pragmatic, hands-on approach to creating efficient, scalable, and reliable software systems.
• Ability to communicate technical ideas effectively, e.g. through discussions, whiteboard sessions, written documentation.
• Proven experience with open source development and tools is a plus.
• A true passion for AI!

Conditions of employment

A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

• Full-time employment for three years
• Salary in accordance with the Collective Labour Agreement for Dutch Universities, scale 10 (min. €3378 max. €5331).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• High-quality training programs on general skills, didactics and topics related to research and valorization.
• An excellent technical infrastructure, on-campus children's day care and sports facilities.
• Partially paid parental leave and an allowance for commuting, working from home and internet costs.
• A Staff Immigration Team is available for international candidates, as are a tax compensation scheme (the 30% facility) and a compensation for moving expenses.

Information

Do you recognize yourself in this profile and would you like to know more?
Please contact the hiring manager Joaquin Vanschoren, Associate Professor, j.vanschoren@tue.nl.

Visit our website for more information about the application process or the conditions of employment. You can also contact Pieter Gijsbers, Research engineer, p.gijsbers@tue.nl.

Are you inspired and would like to know more about working at TU/e? Please visit our career page.

Application

We invite you to submit a complete application using the apply-button. The application should include a:

• Cover letter in which you describe your motivation and qualifications for the position.
• Curriculum vitae, including a list of your main achievements and the contact information of three references.

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.