Senior Machine Learning Engineer (Product) (Fixed-term contract)

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.”

We offer

• Competitive annual salary starting 60,000euros per annum.

• Two unique bonuses: signing bonus at incorporation and retention bonus at contract completion.

• Relocation package (if applicable).

• Up to 9-month contract, ending on 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.

As a Senior LLM Engineer, you will

• Design and implement strategies for creating, sourcing, and augmenting datasets tailored for LLM training and fine-tuning.

• Develop scalable pipelines to collect, clean, filter, annotate, and validate large volumes of text data, ensuring quality, ethical compliance, etc.

• Collaborate with ML engineers, researchers, and software engineers to achieve ambitious goals in the preparation of LLMs and complementary work (preparing datasets, model evaluation, model serving, etc.).

• Develop and integrate new routines for modifying and enhancing LLMs, and extending their functionality.

• Make effective use of distributed compute resources and clusters (GPU’s), identify opportunities for further optimization.

• End-to-end preparation of compressed and specialized LLMs for use in production.

• Keep up to date with research trends in LLM foundation models, dataset curation, LLM pretraining data, and benchmarking.

• Contribute to building documentation, development standards, and a healthy shared code base.

• Mentor other engineers and provide knowledge sharing of cutting-edge techniques.

Required Qualifications

• Master’s, or Ph.D. in Computer Science, AI, Data Science, Physics, Math, or a related field. Or equivalent industry experience.

• 4+ years of experience in data science, machine learning, or related roles, with demonstrated experience with NLP or LLMs.

• In-depth knowledge of large foundational model architectures (language and multimodal models) and their lifecycle: training, fine-tuning, alignment, and evaluation.

• Proficient in Python and data tooling ecosystems (Pandas, NumPy, Hugging Face Datasets & Transformers libraries).

• Hands-on experience with text data collection from diverse sources: web scraping, APIs, proprietary corpora, etc.

• Strong understanding of data quality metrics including bias detection, toxicity, and readability.

• Experience working in large shared distributed computing environments, familiarity with relevant tools for hardware optimization (vLLM, TensorRT, NeMo, etc.).

• Experience with version control (git), unit testing, and other fundamental aspects of software development.

• Effective communication and interpersonal abilities.

Preferred Qualifications

• Experience building or contributing to datasets used in LLM pretraining or supervised fine-tuning.

• Experience building foundational LLMs from the ground up

• Familiarity with alignment techniques (e.g., reinforcement learning, preference modeling, reward modeling).

• Exposure to multilingual and low-resource language datasets.

• Contributions to open-source datasets, tools, or publications in dataset-centric research.

• Knowledge of ethical AI, data governance, privacy laws (e.g., GDPR), and responsible data use.

• Familiarity with the software development lifecycle and agile methodologies
  

About 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 promisi