At Source.ag, we're on a mission to power a sustainable future by leveraging cutting-edge A.I. in greenhouse technology to deliver more fresh produce to the world. Our values drive everything we do to support this mission; they shape how we work, collaborate, and achieve our goals:

🧑 🌾 All In for our Growers: We work closely with growers, prioritizing their needs.

🌈 Strength through Diversity: We embrace different perspectives and backgrounds, fostering a culture of mutual respect, inclusion, and collaboration.

🌟 Learn–Adapt–Succeed: We grow through continuous feedback, learning, and dedication.

🚀 Driven to Deliver: We are dedicated to delivering impactful results.

🌱 Plant Solutions: We plant solutions that shape the future of food production.

Our autonomous greenhouse control product is at the heart of this mission, specifically our irrigation autopilot . Imagine an intelligent system that precisely delivers the optimal amount of water and nutrients to plants exactly when they need it, every single day. This isn't just about efficiency; it's about driving stronger plants, higher yields, and a more resilient global food supply.

This system is far from simple. Think of it as the adaptive cruise control of a modern car — but instead of steering vehicles, you're steering plants. It's a complex, dynamic environment with numerous constraints, conflicting objectives, noisy sensor data, and significant time lags, and it runs live 24 hours a day, 7 days a week.

We're looking for a Data Scientist with a strong control systems background who thrives on building production systems where failure is not an option. You combine the rigour of a control engineer — feedback loops, signal processing, state estimation — with the pragmatism of a data-driven practitioner who can design, deploy, and own systems in live operation.

In our Control team , you'll be embedded in a highly collaborative environment, working side by side with Data Scientists, Software Engineers, Product Managers, and AI Solution Specialists. Together, you'll explore, design, ship, and continuously support new models and products in live operations. What makes this role truly unique is the direct collaboration with Plant Scientists and expert growers , allowing you to integrate cutting-edge biological knowledge and real-world practices directly into your work.

What we would like you to get excited about:

• Architect and operate robust control pipelines that run 24/7, autonomously managing irrigation in greenhouses worldwide — systems that must be reliable, observable, and safe to fail gracefully
• Design and implement data-driven control logic, such as model predictive control and feedback mechanisms that adapt in real time to plant state, sensor noise, and environmental dynamics
• Own the full system lifecycle — from initial design and experimentation through deployment, monitoring, and continuous improvement in live production
• Bridge control theory and data science to build solutions grounded in physical system dynamics
• Work directly with Plant Scientists and expert growers to translate biological knowledge into control logic and feedback constraints
• Push the boundary where control engineering, signal processing, and applied machine learning converge to deliver state-of-the-art products for growers globally

You have:

• An MSc or PhD in Control Engineering, Robotics, Mechatronics, Applied Mathematics, Systems Engineering, or a related discipline with a strong control systems component

Nice to have:

• Experience with ML model development and deployment
• Background in process control, agricultural systems, or biological/physical modelling
• Familiarity with time-series databases, IoT sensor pipelines, or embedded system constraints

Our offer in return for your talent and skills:

• A hybrid work environment: we have office days on Mondays and Thursdays, and we make them worthwhile
• Lunch at the office
• Flexible hours, always respecting your team and meetings
• Pension contribution of 4.5%
• Mental well-being guidance through OpenUp
• MacBook Pro 16"
• Travel allowance for office commute
• Annual learning budget of €1,000

🌱 Ready to grow with us?

At Source, we highly value diversity of backgrounds and perspectives. Research shows that people assess their fit for roles differently, so we strongly encourage you to apply even if you feel you don't tick all the boxes.

Note to recruitment agencies: We do not appreciate unsolicited outreach or external acquisition regarding our open roles. Please refrain from contacting us about these vacancies. Thank you.