AI / ML Software Engineer

About

Ecorobotix SA, a Swiss B‑Corp company headquartered in Yverdon‑les‑Bains, offers innovative, robotic solutions to lessen the environmental impact of agricultural activities. We develop ultra‑precise spraying technologies powered by artificial intelligence, allowing farmers to significantly reduce the use of chemicals in their fields. Join our dynamic, international team, and together, let's make agriculture more sustainable!

Position

AI / ML Software Engineer

Mission

Design and deploy high‑performance AI and computer vision models to analyze plant data and generate actionable insights. Continuously integrate state‑of‑the‑art research to optimize model accuracy, efficiency, and scalability. Build robust tools and maintain clean, well‑documented code to support collaboration and reliable production systems.

Responsibilities

• Continuous Research & Paper Reviews – Keep up with the latest advancements by reviewing academic research, integrating state‑of‑the‑art methodologies, and refining AI models for higher accuracy and efficiency.
• Computer Vision & Image Analysis – Process and enhance visual data to identify, classify, and extract relevant features from plant images.
• AI Model Operational Releases – Train and refine AI models to detect and classify plant species, generate actionable insights, and deliver reliable production‑ready model releases throughout the year.
• AI Model Optimization for Classification & Extraction – Improve model performance for plant classification and information extraction through targeted experimentation, tuning, and architecture refinement.
• Internal Tooling POC – Prototype and validate internal tools for batching, annotation, metadata generation, evaluation workflows, and training workflows to improve development efficiency and consistency.
• Comprehensive Documentation & Documented Code – Ensure all AI models, algorithms, and processes are well‑documented for transparency, reproducibility, and seamless collaboration. This includes structured technical reports, inline code documentation, and process flow descriptions.
• Scalable Code & Collaboration – Maintain optimized, peer‑reviewed code to support teamwork, innovation, and long‑term maintainability across AI development teams.

Profile

• Education – Ph.D. or master’s degree in computer science, robotics, electrical engineering or a related field with strong orientation in Machine Learning.
• Languages – Proficiency in English and French, both spoken and written.

Experience

• Minimum 3 years of industry experience or 5 years in applied research and development within an academic institution.

Technical Skills

• Programming – Proficiency in Python; additional experience in other languages (C, CUDA, etc.) appreciated. Familiarity with Docker and Ubuntu, and understanding of CI/CD pipelines highly valued.
• Computer Vision & Image Processing – Strong knowledge of OpenCV and related tools for visual data processing.
• Machine Learning & AI Frameworks – Hands‑on experience with PyTorch, JAX or TensorFlow for AI model development and optimization.

Familiar With

• MLOps & Automation Tools – Model training pipelines, evaluation workflows, and visualization tools to streamline AI development.
• Dataframe Manipulation & Selection – Comfortable handling large datasets using Pandas, NumPy, and other data‑processing libraries for efficient data selection, filtering, and preprocessing.
• Deployment & Optimization – TensorRT or other AI deployment frameworks for efficient model inference on edge devices.

Soft Skills

• Proactive & Autonomous – Demonstrates strong initiative and the ability to work independently.
• Team‑Oriented & Adaptable – Thrives in fast‑paced environments and collaborates effectively with diverse teams.
• Passionate & Curious – Eager to take on new challenges, even beyond core expertise.
• Analytical & Agile – Approaches work with a structured mindset while quickly adapting to new inputs and evolving requirements.
• Environmentally Conscious – Committed to sustainability and green technology initiatives.

Additional Information

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