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Machine Learning Engineer (9-month contract with bonus incentives)
Multiverse ComputingMadrid, Comunidad de Madrid, EspañaHace 3 días
Descripción del trabajoDesign 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. Assess strengths and weaknesses of models, propose enhancements, and develop novel solutions to improve performance and efficiency. Act as a domain expert in LLMs, understanding domain-specific problems and identifying opportunities for quantum AI-driven innovation. Design, train and deliver custom deep learning models for clients. Work in diverse areas beyond LLMs, e.g., computer vision. Maintain comprehensive documentation of LLM development processes, experiments, and results. Share knowledge with the team to foster a culture of continuous learning and guide junior members in their growth. Participate in code reviews and provide constructive feedback to team members. Stay up to date with the latest advancements in LLMs and recommend new tools and technologies as appropriate. Bachelor's, Master's or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related fields. 2+ years of hands-on experience designing, training or fine-tuning deep learning models, preferably with transformer or computer vision models. 2+ years of hands-on experience using transformer models, with strong command of libraries such as HuggingFace Transformers, Accelerate, Datasets, etc. Solid mathematical foundations and theoretical understanding of deep learning algorithms and neural networks, for both training and inference. Excellent problem-solving, debugging, performance analysis, test design, and documentation skills. Strong understanding of GPU architectures 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 (Docker) and 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. Publications in deep learning or related fields is a plus. Fluent in English. Experience running large-scale workloads in high-performance computing (HPC) clusters. Experience 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 non-LLM deep learning applications (computer vision, audio, or signal processing). Familiarity with AI ethics and responsible AI practices. Experience in DevOps / MLOps practices in deep learning product development. CompactifAI — a groundbreaking compression tool for foundational AI models, reducing their size by up to 95% while maintaining accuracy. 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.
Machine Learning Engineer (9-month contract with bonus incentives)
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 transforming how AI is deployed worldwide — compressing large language models by up to 95% without losing accuracy and reducing 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 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
Required Qualifications
Preferred Qualifications
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 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 :
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. Join us!
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Machine Learning Engineer • Madrid, Comunidad de Madrid, España
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