About the job
Range Service Specialist | Machine Learning & Robotics | Full-time Office-Based | Sofia
Please note, this position does not involve hands-on technical work but focuses on our technical products.
About Us: At Ocado Technology, we are revolutionizing the grocery shopping experience with cutting-edge Artificial Intelligence, Machine Learning, Robotics, Big Data, Cloud, and IoT technologies. We design and develop the sophisticated software and hardware systems that power Ocado.com and the innovative 'Ocado Smart Platform', which is transforming retail operations around the globe, from Europe to America and Asia. Learn more at: Ocado Group
Role Overview: As a Range Service Specialist, you will play a crucial role in connecting our diverse range of physical grocery products with the intelligence of our autonomous robotic systems. You will take full ownership of our product database, ensuring that every item—from fresh fruits to cereals—is accurately mapped and optimized for robotic handling. By analyzing performance data and meticulously labeling data, you will enable our AI to handle inventory with human-like precision.
Working closely with our Partner Success team, you will ensure our global retail partners maximize their use of the platform. You will help identify which products are ready for robotic integration and which require further optimization. Your contributions will ensure our robotic systems can scale alongside our partners, maintaining the efficiency and excellence that define the Ocado Smart Platform.
Key Responsibilities:
- Oversee the complete lifecycle of thousands of SKUs, ensuring a high-quality and visually accurate product database.
- Analyze product metrics such as success and error rates to align our product offerings with operational objectives.
- Continuously optimize the 'Enabled Products' list by identifying and phasing out low-performing items to enhance robotic efficiency.
- Evaluate new candidate items for range expansion, assessing their operational impact and complexity for picking.
- Collaborate with Product Managers and supply chain stakeholders to prioritize items based on feasibility and market demand.
- Present clear, data-driven insights to stakeholders to support strategic logistics and technical decisions.
- Conduct offline annotation of training data to refine AI algorithms for improved performance.

