# Machine Learning Engineer for Multiverse ComputingMultiverse Computing, Barcelona, ZaragozaWe are looking to fill this role **immediately** and are reviewing applications daily. Expect a fast, transparent process with quick feedback.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).* Fixed-term contract ending in 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! *As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all* different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.Publicerad ## Mer om tjänsten---**Företag:** Multiverse Computing**Ort:** Barcelona, Zaragoza**Titel:** Machine Learning Engineer (Fixed-term contract)**Anställningsform:** Fixed-term contract**Sista ansökningsdag:**
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