Descripción de la oferta
Multiverse Computing Multiverse Computing is a fast-growing deep-tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software company in the EU, with 250+ employees worldwide and growing, delivering advanced solutions trusted by leading global enterprises across several critical industries, including finance, energy, manufacturing, telecom, and industrial sectors. Our mission is to enable organizations to gain a meaningful competitive edge through cutting-edge AI and quantum technologies. You’ll work alongside world-leading experts, developing solutions that deliver real-world value for global clients. We are committed to fostering an inclusive, ethics-driven culture grounded in sustainability, diversity, and collaboration — a place where ambitious, curious people take ownership, push boundaries, and grow. Come and join us. Job Overview We are seeking a skilled and experienced LLM Engineer (Senior and Mid level) with a strong background in Large Language Models to join our team. In this role you will have the opportunity to leverage cutting-edge quantum and AI technologies to lead the design, implementation, and improvement of our language models, as well as working closely with cross‑functional teams to integrate these models into our products. You will have the opportunity to work on challenging projects, contribute to cutting‑edge research, and shape the future of LLM and NLP technologies. As a LLM 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‑tune and optimise LLMs for enhanced accuracy, robustness, and efficiency. 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. 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 Master's or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related fields. Mid: 2+ years of hands‑on experience with designing, training or fine‑tuning transformer models. Senior: 5+ years of hands‑on experience with designing, training or fine‑tuning transformer and other deep learning models such as computer vision. 2+ years of hands‑on experience using LLM and 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 of GPU architectures. Excellent programming skills in Python and experience with relevant libraries such as PyTorch, HuggingFace, etc. Experience with cloud platforms, ideally AWS, containerization technologies such as 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 is a plus. Fluent in English. Preferred Qualifications Proven experience 4+ years delivering successful AI‑driven projects in an industrial environment. Spanish language skills. Experience running large‑scale workloads in high‑performance computing clusters. Experience handling large datasets and ensuring data quality. Experience with inference and deployment environments such as TensorRT, vLLM, etc. Experience in accuracy evaluation of LLMs using OpenLLM Leaderboard. Experience building and evaluating RAG systems. Experience in building non‑LLM deep learning applications such as computer vision, audio or signal processing. Familiarity with AI ethics and responsible AI practices. Experience in DevOps and MLOps practices in deep learning product development. Perks and Benefits Indefinite contract. Equal pay guaranteed. Variable performance bonus. Signing bonus. We offer work visa sponsorship if applicable. Relocation package if applicable. Private health insurance. Eligibility for educational budget according to internal policy. Hybrid opportunity. Flexible working hours. Language classes and discounted lunch options. A high‑performance, collaborative environment, operating at pace on cutting‑edge technologies. Career plan. Opportunity to learn and teach. 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. #J-18808-Ljbffr
