Why this role matters
Our client is building machine learning technology that helps shipping companies cut fuel consumption and emissions at scale, solving one of the world’s most urgent climate challenges. Their platform is used directly by customers, and can also be easily embedded in partner products. By 2029, they aim to power 10,000 vessels – the equivalent of removing every single car from the roads in Belgium. Your code will directly move that needle.
You’ll be joining a young, smart, and ambitious team that’s willing to go the extra mile. If you want impact, autonomy, and deep ownership, this could be a fit.
What you’ll do
- Work across the stack: one week you might extend a FastAPI service, the next you might implement a new data pipeline or polish a React UI.
- Shape the product: collaborate with the team to understand real customer pain points and help design solutions that make sense.
- Build reliable systems: write maintainable, modular, and performant code.
Your experience
- Familiar with data and ML tools: proficient with Python and experience with libraries like pandas, scikit-learn, and ideally Tensorflow.
- Exposure to web technologies: built or worked with APIs (FastAPI or similar) and touched some frontend (e.g. React).
- Nice to have: experience with DevOps, Azure, Terraform, Kubernetes.
- (Not sure you tick every box? Apply. They hire for trajectory and judgment.)
What makes you a great fit
- You take initiative and ownership, moving projects forward without constant direction and caring about quality and impact.
- You’re driven by impact and want to apply your skills to tackle one of the world’s biggest climate challenges.
- You learn quickly, enjoy picking up new technologies, adapting to new contexts, and solving unfamiliar problems.
- You think critically, questioning assumptions and proposing better ways of doing things.
- You’re a team player: humble, collaborative, and putting the team first.
- You’re curious about the maritime world and its sustainability impact.
- You’re great at ping-pong 😉
How they work
- Direct communication: talk directly with the people you work with – no layers in between.
- Flat structure: your ideas matter as much as anyone else’s.
- Cross-functional collaboration: work closely with researchers, business minds, and end users in a fast-moving team.
- Mission-driven: cutting emissions is what guides their priorities.
- Fast iterations: they move quickly, test ideas often, and learn from real feedback to keep improving.