We are looking for a Machine Learning Engineer to design and develop new techniques to compress Large Language Models based on quantum-inspired technologies. The role involves working on cutting-edge solutions that make AI faster, greener, and more accessible.
Requirements
- 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
Benefits
- Competitive annual salary
- Two unique bonuses: signing bonus at incorporation and retention bonus at contract completion.
- Relocation package (if applicable)
- Fixed-term contract ending in June 2026
- Hybrid role and flexible working hours
- Equal pay guaranteed
- International exposure in a multicultural, cutting-edge environment