Machine Learning Engineer - Fully Remote

Machine Learning Engineer | AI Start-up | 9-Month fixed-term Contract

Join a European deep-tech leader in quantum and AI.

A well-funded, fast-growing company backed by major global investors with its groundbreaking technology is already transforming AI, compressing large language models by up to 95% and cutting inference costs by 50–80%.

This is your chance to be part of a team often described as a “quantum-AI unicorn in the making.”

This is a Hybrid opportunity working out of Zaragoza.

You'll design and develop new techniques to compress Large Language Models using quantum-inspired technologies. You'll build LLM-based applications like RAG and AI agents, and you'll assess, fine-tune, and optimize models for enhanced performance and efficiency. As a domain expert, you'll identify opportunities for quantum AI-driven innovation and deliver custom deep-learning models for our clients.

A Bachelor's, Master's, or Ph.You should have at least 2 years of hands-on experience designing, training, or fine-tuning deep learning models, with a strong command of libraries such as HuggingFace Transformers.

Technical Skills :

You need a solid theoretical understanding of deep learning algorithms and neural networks, as well as excellent Python programming skills. Experience with cloud platforms (ideally AWS), containerization (Docker), and deploying AI solutions in a cloud environment is essential. You should also have a strong understanding of GPU architectures and LLM hardware / software infrastructures.

You'll participate in code reviews and help mentor junior team members.

Experience with large-scale workloads in HPC clusters, inference and deployment environments (TensorRT, vLLM), building and evaluating RAG systems, and familiarity with MLOps.

Compensation :

Competitive salary, with a signing bonus and a retention bonus at the end of the contract.

Flexibility :

This is a hybrid role with flexible working hours. A relocation package is available if needed.

We are a fast-scaling company committed to equal pay, diversity, and an inclusive culture. By applying to this role you understand that we may collect your personal data and store and process it on our systems.