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 flexible 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!