Skills

Communication Research Training Machine Learning PyTorch benchmarking

Job Specifications

Job description

AI Systems is a department in the AI & Algorithms expertise center that develops advanced AI compute solutions involving AI models, algorithms, implementations, sensors and hardware for small scale edge up to large scale distributed and hybrid hardware architectures.

Within the AI Systems department, the AI Models group focuses on algorithmic and application research in the domain of AI and scientific simulations to drive SW-HW-Technology co-optimization and develop novel ML/Hybrid-AI methods for semiconductor processing and health applications. We are strengthening our AI Models group in Machine Learning research and optimization techniques. This position is within AI Models group based in Leuven, Belgium.

What you will do

Post-train decoder-based models using reinforcement learning for better (more accurate, faster) answering data that resides in a proprietary space.
Post-train decoder-based models to act as orchestrator components in agentic systems.
Follow-up the evolving state of the art in the field of reinforcement learning.
Apply the RL-based approach to multimodal datasets (text, audio, image, video) and agentic workflows.
Performance projection of AI/ML algorithms for custom architectures to enable SW-HW codesign.

What we do for you

We offer you the opportunity to join one of the world’s premier research centers in nanotechnology at its headquarters in Leuven, Belgium. With your talent, passion and expertise, you’ll become part of a team that makes the impossible possible. Together, we shape the technology that will determine the society of tomorrow.

We are committed to being an inclusive employer and proud of our open, multicultural, and informal working environment with ample possibilities to take initiative and show responsibility. We commit to supporting and guiding you in this process; not only with words but also with tangible actions. Through imec.academy, 'our corporate university', we actively invest in your development to further your technical and personal growth.

We are aware that your valuable contribution makes imec a top player in its field. Your energy and commitment are therefore appreciated by means of a market appropriate salary with many fringe benefits.

Who you are

You have a PhD, preferable in Computer Science, Engineering, or equivalent.
You have experience with RL/Agentic systems/Foundation models.
Experience with RAG pipelines and hybrid retrieval
Experience with benchmarking and evaluation of agentic/multimodal AI systems.
Experience with distributed training frameworks (e.g., Ray, Dask, PyTorch Lightning).
Strong background in algorithmic optimization techniques like quantization, pruning, and distributed training methodologies.
Prior experience with HPC/CUDA/optimizing AI workload for Compute System Architectures is a plus.
You are a team player and have strong communication skills.
Your English is fluent, both speaking and writing.

About the Company

At imec, we shape the future by enabling nano- and digital technology innovation that enhances quality of life--together with partners from the industry, government, and academia. Our R&D is built on three core pillars: - a unique 2.5-billion-euro 300mm semiconductor pilot line - over 6,000 colleagues from around the world - an ecosystem of 600+ world-leading industry partners and a global academic network Since 1984, imec quickly made its name as the leading research hub for advanced CMOS scaling and continues to set the ... Know more