Junior Software Engineer

🕐 Full-Time | Entry-Level | Start: ASAP

About Caterra

Caterra, an ETH Zurich spinoff, is building scalable alternatives to manual labor in agriculture. Our laser-based robots remove weeds with high precision, even those close to crops—something mechanical tools can’t do. Lightweight, electric, and chemical-free, our solution makes organic farming viable at scale.

Your Role

You’ll support our Computer Vision & Machine Learning Lead by managing and automating data pipelines, coordinating labeling efforts, and maintaining data quality. You’ll be a key player in ensuring the success of our machine learning models through high-quality datasets and efficient workflows.

Your Responsibilities

🧠Data & Workflow Management

Plan and coordinate field data collection Manage datasets using FiftyOne: prune, clean, and validate metadata Maintain and iterate on active learning workflows with Lightly.ai

🧪Labeling Operations

Oversee labeling quality and consistency Collaborate with customers and labeling teams Onboard new crops and refine/automate pre-labeling processes

📈 Model & Dataset Support

Improve dataset quality through automated and manual re-evaluation Support scalable data processes for continuous model training

Your Profile

🎓 Background

minimum Bachelor’s degree in CS, Data Science, Engineering, or similar Fluent in English (preferred: german fluent as well)

💻 Technical Skills

Solid Python experience for automation and data wrangling Git for version control Familiarity with data science workflows (Bonus) Experience with FiftyOne, Lightly, or ML/Data pipelines

🧩 Soft Skills

Structured, self-driven, and reliable Great communicator with technical and non-technical teams Comfortable in dynamic, fast-moving environments

📚 Experience

Internships or personal projects in data science, engineering, or similar Experience working with real-world datasets or pipelines is a plus (Bonus) Background in agriculture or applied CV/ML

Why Caterra?

Apply ML to challenging real-world problems with direct impact Learn how to scale data and model operations Join a collaborative, mission-driven startup Flexible hours and remote-friendly

Ready to Apply?

https://forms.gle/fBzi9DQrbxPJQCnj8