Data Scientist - Control Systems

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