Machine Learning Senior Engineer

9-month fixed-term contract | Hybrid (3 days / week onsite) | Location : Well-funded and fast-growing deep-tech company founded in 2019. We are the biggest Quantum Software company in the EU. They are also one of the 100 most promising companies in AI in the world (according to CB Insights, 2023) with 150+ employees and growing, fully multicultural and international.

They provide hyper-efficient software to companies seeking to gain an edge with quantum computing and artificial intelligence. D. in Computer Science, AI, Data Science, Physics, Math, or a related field. 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 with version control (git), unit testing, and other fundamental aspects of software development.

~ Exposure to multilingual and low-resource language datasets.

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

Familiarity with the software development lifecycle and agile methodologies

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.).

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.

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.