Company Description YANMAR R&D; EUROPE S.R.L. is YANMAR’s European research center driving innovation and advanced technology development for the Group. Based in Florence, Italy, the center focuses on cutting-edge research that supports YANMAR’s global products and solutions across several sectors, including Agriculture, Construction, Marine, Industrial Engines, and Energy Systems. Team members collaborate with international partners and internal stakeholders, contributing to applied research that moves quickly toward real-world implementation.

The organization values technical excellence, curiosity, and cross-disciplinary teamwork in a multicultural environment.

Role Description This is a full-time position with a hybrid working arrangement. You will work alongside researchers and engineers to develop advanced data-driven solutions and AI technologies across YANMAR's strategic domains, including energy systems, engines, robotics, agriculture, and food production. Working within YANMAR's Energy & Digital team, the successful candidate will design software prototypes, run experiments, analyze results, and translate research outcomes into practical solutions.

The role spans classical machine learning, deep learning, and emerging AI technologies, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems. As part of a multidisciplinary team, you will collaborate with internal experts, universities, research institutes, and external technology partners, contribute to technical reports and scientific publications, manage projects from feasibility studies to deployment and technology transfer, and help shape future research and innovation activities.

Your Profile

- Master’s degree in a STEM field (Science, Technology, Engineering, Mathematics, or Statistics).
- Previous experience in research, either in academic or industrial settings, will be considered a plus.
- Some experience with Machine Learning, Deep Learning, and Generative AI.




- Experience with Python programming and good knowledge of the scientific Python ecosystem, including NumPy, Pandas, and Matplotlib.
- Able and willing to work across several domains (engines, energy, agriculture, robotics) and on several projects in parallel
- Ability to manage projects from feasibility study to delivery, including planning, prioritization, and progress reporting.
- Fluent English, both written and spoken (knowledge of Japanese is considered a plus).
- Curious, proactive, and collaborative mindset.

Machine Learning & Data Science

- Experience applying Machine Learning to tabular and time-series data, including regression, ensemble methods, feature engineering, and model interpretability.
- Experience with Deep Learning frameworks such as PyTorch, TensorFlow, or Keras, including neural networks, time-series models, and transformer architectures.
- Familiarity with LLM/VLM applications and Retrieval-Augmented Generation (RAG), including document processing, embeddings, vector databases, retrieval pipelines, and prompt engineering.
- Understanding of ML and AI system evaluation, including model validation, performance metrics, and benchmarking methodologies.

Nice to Have

- Familiarity with Git-based collaborative development (GitHub/GitLab).
- Comfortable working in Linux environments.
- Exposure to Docker and containerized development workflows.
- Experience with OpenAI/Azure OpenAI APIs, Hugging Face, LangChain, or Ollama.
- Experience evaluating LLM/RAG systems using benchmark datasets and retrieval metrics.
- Knowledge of SQL and relational databases (e.g., PostgreSQL), as well as data processing with pandas.

What We Offer

- International R&D; environment within a global technology company.
- Opportunity to work on cutting-edge AI technologies with real industrial impact.
- Continuous learning and professional growth.
- Participation in conferences, workshops, and research collaborations.
- Permanent contract (CCNL Metalmeccanico)
- Competitive salary: €35K–39K gross/year + company annual premio
- Smart working policy
- Flexible working hours
- Meal vouchers

Location: Florence, Italy (Hybrid)

Employment type: Full-time

📌 Machine Learning & AI Research Engineer (Firenze)
🏢 YANMAR Ru0026D EUROPE
📍 Firenze