We are looking to fill this role immediately and are reviewing applications daily. Expect a fast, transparent process with quick feedback.

Why join us?

We are a European deep-tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide — compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50–80%.
Joining us means working on cutting-edge solutions that make AI faster, greener, and more accessible — and being part of a company often described as a “quantum-AI unicorn in the making.”

We offer

- Competitive annual salary starting from €45,000, based on experience and qualifications.

- Two unique bonuses: signing bonus at incorporation and retention bonus at contract completion.

- Relocation package (if applicable).

- Up to 9-month contract, ending on June 2026.

- Hybrid role and adaptable working hours.

- Be part of a fast-scaling Series B company at the forefront of deep tech.

- Equal pay guaranteed.

- International exposure in a multicultural, cutting-edge environment.

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.

- Build LLM based applications such as RAG and AI agents.

- 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.

- Design, train and deliver custom deep learning models for our clients

- Work in diverse areas beyond LLM, e.g., computer vision.





- Maintain comprehensive documentation of LLM development processes, experiments, and results.

- 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.

- Participate in code reviews and provide constructive feedback to team members.

- Stay up to date with the latest advancements and emerging trends in LLMs and recommend new tools and technologies as appropriate.

Required Qualifications

- 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.

- 2+ year of hands-on experience using transformer models, with excellent command of libraries such as HuggingFace Transformers, Accelerate, Datasets, etc."

- 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

- Excellent written and verbal communication skills,



with the ability to work collaboratively in a fast-paced team environment and communicate complex ideas effectively.

- Previous research publications in deep learning or any tech field is a plus

- Fluent in English

Preferred Qualifications

- Experience running large-scale workloads in high-performance computing (HPC) clusters.

- Experience in handling large datasets and ensuring data quality.

- Experience with inference and deployment environments (TensorRT, vLLM, etc.).

- Experience in accuracy evaluation of LLMs (OpenLLM Leaderboard).

- Experience building and evaluating RAG systems.

- Experience in building non-LLM deep learning applications, e.g., computer vision, audio or signal processing.

- Familiarity with AI ethics and responsible AI practices.

- Experience in DevOps/MLOps practices in deep learning product development.

About Multiverse Computing

Founded in 2019, we are a well-funded, fast-growing deep-tech company with a team of 180+ employees worldwide. Recognized by CB Insights (2023 & 2025) as one of the Top 100 most promising AI companies globally, we are also the largest quantum software company in the EU.
Our flagship products address critical industry needs:

- CompactifAI → a groundbreaking compression tool for foundational AI models, reducing their size by up to 95% while maintaining accuracy, enabling portability across devices from cloud to mobile and beyond.

- Singularity → a quantum and quantum-inspired optimization platform used by blue-chip companies in finance, energy, and manufacturing to solve complex challenges with immediate performance gains.

You’ll be working alongside world-leading experts in quantum computing and AI, developing solutions that deliver real-world impact for global clients. We are committed to an inclusive, ethics-driven culture that values sustainability, diversity, and collaboration — a place where passionate people can grow and thrive. Come and join us!

📌 Machine Learning Engineer (9-month contract with bonus incentives) (Donostia-San Sebastián)
🏢 Importante empresa
📍 Donostia-San Sebastián