Multiverse Computing Multiverse is a well-funded,
fast-growing deep-tech company founded in 2019. We are the largest
quantum software company in the EU and have been recognized by CB
Insights (2023 and 2025) as one of the 100 most promising AI
companies in the world. With 180+ employees and growing, our team
is fully multicultural and international. We deliver
hyper-efficient software for companies seeking a competitive edge
through quantum computing and artificial intelligence. Our flagship
products, CompactifAI and Singularity, address critical needs
across various industries: CompactifAI is a groundbreaking
compression tool for foundational AI models based on Tensor
Networks. It enables the compression of large AI systems—such as
language models—to make them significantly more efficient and
portable. Singularity is a quantum- and quantum-inspired
optimization platform used by blue-chip companies to solve complex
problems in finance, energy, manufacturing, and beyond. It
integrates seamlessly with existing systems and delivers immediate
performance gains on classical and quantum hardware. You’ll be
working alongside world-leading experts to develop solutions that
tackle real-world challenges. We’re looking for passionate
individuals eager to grow in an ethics-driven environment that
values sustainability and diversity. We’re committed to building a
truly inclusive culture—come and join us. Job Overview We are
seeking a skilled and experienced Machine Learning Engineer 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 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
minimum 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:
Spanish Language skills 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. 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. Adaptable
working hours. Language classes and discounted lunch options
Working in a high paced environment, working on cutting edge
technologies. Career plan. Opportunity to learn and teach.
Progressive Company. Happy people culture 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.

📌 Machine Learning Engineer (LLM) (País Vasco)
🏢 Multiverse Computing
📍 País Vasco