AI is changing our world, but in critical environments it must be reliable, scalable, and safe. At TNO, we develop AI-driven systems that collaborate with physical processes such as sensors and actuators and make autonomous decisions in complex situations – from smart energy grids and defense intelligence to digital twins for biodiversity that support environmental policy. As a Machine Learning Engineer, you contribute to the research, development, and implementation of machine learning solutions that have direct impact on vital infrastructures. You also investigate how systems perform and work on improving their safety and controllability.
Responsibilities- Developing Machine Learning software that promotes autonomy in cyber‑physical systems.
- Building proof‑of‑concept applications and demonstrators that translate AI research into practical and scalable solutions.
- Optimizing and deploying ML models with a focus on performance, reliability, and efficiency.
- Collaborating in multidisciplinary teams with experts in AI, systems engineering, and domain‑specific applications.
- Exploring the latest AI techniques and assessing their applicability in critical infrastructures and in interaction with physical processes.
- Working with clients and partners to solve existing and new challenges using state‑of‑the‑art ML technology.
- AI Agents for Military Intelligence - Generative AI agents that support analysts in filtering large-scale data for actionable insights.
- GPT‑NL - Contributing to data curation and training pipelines for the first large-scale, legitimate Dutch language model in the AI domain.
- Sustainable (Re)production - AI‑based decision support for optimizing return flows in industry.
- Recently completed master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
- Strong collaboration and communication skills to work effectively in multidisciplinary teams.
- Proactive and independent working attitude.
- Experience with Python and willingness to learn other languages/platforms such as Rust, TypeScript, Java, or Go.
- Knowledge of and preferably experience with frameworks such as PyTorch or TensorFlow.
- Analytical mindset and curiosity about new AI techniques, combined with a critical and pragmatic perspective.
- Excellent command of Dutch and English, as you will work with international teams and for Dutch clients.
- Gross monthly salary between € 3,385 and € 5,000 (based on your knowledge and experience), 8% holiday pay, a 13th month bonus of 8.33%, and a flex budget (5.58% + € 180).
- Professional, innovative working environment where colleagues are leading experts.
- Opportunities to attend courses, workshops, conferences and receive training and coaching.
- 33 days annual leave plus a flexible holiday that can be used on a cultural, religious, or otherwise important day of your choosing (on a full‑time basis).
- Employer working towards a respectful, inclusive, and equitable work environment where every employee can flourish, with initiatives such as Jong TNO, guilds, Rainbow Community, and Round Tables on diverse inclusion topics.
- Comprehensive and flexible mobility plan including full compensation for public transportation.
- Great social events with your team and other TNO colleagues.
- Flexible working hours, possibility to work part‑time (32 or 36 hours) and from home.
- Good pension scheme.
Salarisomschrijving
€3385 - €5000 monthly