Generative AI Scientist

Job title:

Generative AI Scientist

Company:

Multiverse Computing

Job description

Multiverse ComputingMultiverse 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.As a Senior Generative AI Scientist – LLM, you will

• Join a world-class team of Quantum and AI experts with an extensive track record in both academia and industry.

• Work with Fortune-500 customers from government and private sectors.

• Collaborate with the founding team in a fast-paced startup environment.

• Tackle high value open problems from industry.

• Collaborate with quantum experts to design and implement new machine learning models.

Required qualifications:

• PhD in Artificial Intelligence, Generative AI, Computer Science, Data Science and related fields.

• Strong research background in Generative AI and Machine Learning.

• Strong background and hands-on experience with different LLM technologies, including LLM compression, LLM editing, LLM training and fine-tuning, Synthetic Data generation.

• Excellent programming skills in Python and experience with relevant libraries (PyTorch, TensorFlow, Scikit, Pandas, etc.)

• Experience using vLLM, NEMO, DeepSpeed.

• Experience with cloud platforms (AWS, Azure, ….)

• Excellent problem-solving skills and ability to work collaboratively in a team environment and communicate complex ideas effectively.

• Ability to work with a diverse team of people, both in-person and through online resources.

• Perfect command of the English language.

Preferred qualifications:

• Expertise in Quantum-Inspired tensor Network Methods

• Expertise in reinforcement learning.

• Expertise in unsupervised machine learning.

• Experience training and deploying deep learning models on the Cloud

• Ability to work independently and hit the ground running.

Perks & 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

• Working in a high paced environment, working 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.Come and join our multicultural team!5 locations
+27 languages

Expected salary

Location

San Sebastián, Guipúzcoa

Job date

Sat, 26 Jul 2025 02:55:43 GMT

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