Buscar empleo: 1000+ ofertas de trabajo Sin experiencia en Urnieta (julio 2026) - page 4

Senior LLM Engineer

hace 3 días

San Sebastián

ppbMultiverse Computing /b /p pMultiverse 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. /p pOur mission is to enable organizations to gain a meaningful competitive edge through cutting-edge AI and quantum technologies. /p pYou’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. /p pCome and join us. /p h3Job Overview /h3 pWe are seeking a skilled and experienced bLLM Engineer (Senior and Mid level) /b 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. /p h3As a LLM Engineer, you will /h3 ul liDesign and develop new techniques to compress Large Language Models based on quantum-inspired technologies to solve challenging use cases in various domains. /li liConduct rigorous evaluations and benchmarks of model performance, identifying areas for improvement, and fine-tuning and optimising LLMs for enhanced accuracy, robustness, and efficiency. /li liUse your expertise to assess the strengths and weaknesses of models, propose enhancements, and develop novel solutions to improve performance and efficiency. /li liAct as a domain expert in the field of LLMs, understanding domain-specific problems and identifying opportunities for quantum AI-driven innovation. /li liMaintain comprehensive documentation of LLM development processes, experiments, and results. /li liShare 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. /li liParticipate in code reviews and provide constructive feedback to team members. /li liStay up to date with the latest advancements and emerging trends in LLMs and recommend new tools and technologies as appropriate. /li /ul h3Required Qualifications /h3 ul liMaster's or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related fields. /li libMid: 2+ years /b of hands-on experience with designing, training or fine-tuning transformer models. /li libSenior: 5+ years /b of hands-on experience with designing, training or fine-tuning transformer and other deep learning models (e.g. computer vision). /li li2+ years of hands-on experience using LLM and Transformer models, with excellent command of libraries such as HuggingFace Transformers, Accelerate, Datasets, etc. /li liSolid mathematical foundations and theoretical understanding of deep learning algorithms and neural networks, both training and inference. /li liExcellent problem-solving, debugging, performance analysis, test design, and documentation skills. /li liStrong understanding of the fundamentals of GPU architectures. /li liExcellent programming skills in Python and experience with relevant libraries (PyTorch, HuggingFace, etc.). /li liExperience with cloud platforms (ideally AWS), containerization technologies (Docker) and with deploying AI solutions in a cloud environment. /li liExcellent written and verbal communication skills, with the ability to work collaboratively in a fast-paced team environment and communicate complex ideas effectively. /li liPrevious research publications in deep learning is a plus. /li liFluent in English. /li /ul h3Preferred Qualifications /h3 ul liProven experience (4+ years) delivering successful AI-driven projects in an industrial environment. /li liSpanish language skills. /li liExperience running large-scale workloads in high-performance computing (HPC) clusters. /li liExperience in handling large datasets and ensuring data quality. /li liExperience with inference and deployment environments (TensorRT, vLLM, etc.). /li liExperience in accuracy evaluation of LLMs (OpenLLM Leaderboard). /li liExperience building and evaluating RAG systems. /li liExperience in building non-LLM deep learning applications, e.g., computer vision, audio or signal processing. /li liFamiliarity with AI ethics and responsible AI practices. /li liExperience in DevOps/MLOps practices in deep learning product development. /li /ul h3Perks and Benefits /h3 ul liIndefinite contract. /li liEqual pay guaranteed. /li liVariable performance bonus. /li liSigning bonus. /li liWe offer work visa sponsorship (if applicable). /li liRelocation package (if applicable). /li liPrivate health insurance. /li liEligibility for educational budget according to internal policy. /li liHybrid opportunity. /li liFlexible working hours. /li liLanguage classes and discounted lunch options. /li liA high-performance, collaborative environment, operating at pace on cutting-edge technologies. /li liCareer plan. Opportunity to learn and teach. /li /ul pAs 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. /p /p #J-18808-Ljbffr

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