Work Mode : Hybrid (3 days a week from the office, flexible hours)
Type : Fixed term contract ending in June 2026
Well-funded and fast-growing deep-tech company founded in 2019. We are the biggest Quantum Software company in the EU. They are also one of the 100 most promising companies in AI in the world (according to CB Insights, 2023) with 150+ employees and growing, fully multicultural and international.
They provide hyper-efficient software to companies seeking to gain an edge with quantum computing and artificial intelligence. Bachelor's, Master's or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related fields.
~2+ years of hands-on experience with designing, training or fine-tuning deep learning models, preferably working with transformer or computer vision models.
~Solid mathematical foundations and theoretical understanding of deep learning algorithms and neural networks, both training and inference.
~ Excellent problem-solving, debugging, performance analysis, test design, and documentation skills.
~ Strong understanding with the fundamentals of GPU architectures and and LLM hardware/ software infrastructures.
~ Excellent programming skills in Python and experience with relevant libraries (PyTorch, HuggingFace, etc.).
~ Experience with cloud platforms (ideally AWS), containerization technologies (Docker) and with deploying AI solutions in a cloud environment
~ Fluent in English
As a Machine Learning Engineer, you will
Design and develop new techniques to compress Large Language Models based on quantum-inspired technologies to solve challenging use cases in various domains.
Conduct rigorous evaluations and benchmarks of model performance, identifying areas for improvement, and fine-tuning and optimising LLMs for enhanced accuracy, robustness, and efficiency.
Use your expertise to assess the strengths and weaknesses of models, propose enhancements, and develop novel solutions to improve performance and efficiency.
Act as a domain expert in the field of LLMs, understanding domain-specific problems and identifying opportunities for quantum AI-driven innovation.
Share your knowledge and expertise with the team to foster a culture of continuous learning, guiding junior members of the team in their technical growth and helping them develop their skills in LLM development.