Overview
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 already transforming how AI is deployed worldwide — compressing large language models by up to 95% without losing accuracy and cutting 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.”
What we offer
- Competitive annual salary
- Two unique bonuses : signing bonus at incorporation and retention bonus at contract completion
- Relocation package (if applicable)
- Fixed-term 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
Responsibilities
Prepare and manage high-quality datasets for machine learning training and evaluation, ensuring they are organized, accessible, and reliableConstruct synthetic datasets and simulate task environments when production data is limited or unavailable, leveraging creative data generation techniquesBuild and maintain efficient, scalable data pipelines that support continuous integration and flow of new data into production and research AI systemsCollaborate closely with data scientists and engineers to enable seamless data prep, transfer, and storage for ML experimentation and deploymentMonitor, validate, and optimize dataset quality and pipeline performance, introducing automation and best practices for data ingestion and transformationDocument data sources, pipeline logic, and data management decisions for transparency and team knowledge-sharingRequired Qualifications
Bachelor’s degree in Computer Science, Data Engineering, Data Science, or a related technical field2+ years of experience designing and operating data pipelines for AI / ML products, including ETL, data cleaning, and integrationProficiency in Python and SQL for data manipulation and pipeline developmentHands-on experience with data engineering tools and frameworks (e.g., Apache Airflow, Spark, dbt)Familiarity with cloud data platforms (AWS, Azure, GCP) and data storage solutionsExperience preparing synthetic datasets or simulating environments for ML when neededPreferred Qualifications
Experience supporting LLM or generative AI use cases with data engineering best practicesWorking knowledge of vector databases and unstructured data managementFamiliarity with data observability, data governance, and security in production environmentsExperience collaborating with AI teams in research or enterprise settingsAbout 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 (2023 & 2025) 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 :
CompactifAI → a groundbreaking compression tool for foundational AI models, reducing their size by up to 95% while maintaining accuracy, enabling portability across devices from cloud to mobile and beyondSingularity → a quantum and quantum-inspired optimization platform used by blue-chip companies in finance, energy, and manufacturing to solve complex challenges with immediate performance gainsYou’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 — a place where passionate people can grow and thrive. Come and join us!
As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.
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