Machine Learning Engineer

Recycleye develops AI-powered waste sorting and plant monitoring products. The Machine Learning Engineer develops and deploys machine learning and computer vision features, improves system performance measurement, and supports production systems in real-world sorting environments.

Responsibilities:

• Our team develops new features across Recycleye’s waste sorting and plant monitoring products, improving the end-to-end performance of our systems
• That might mean evaluating and deploying new model architectures, adapting ideas from ML papers to our use cases, implementing novel object tracking algorithms, diving deep into camera optics and calibration, or making our DeepStream pipelines more efficient
• You will be a core member of a small, high-impact ML R&D team
• Building new features and developing better ways to measure how well our products perform, whether that’s sorting a waste stream or understanding what’s in it, and how real site conditions affect that performance
• You will work closely with our data team, who train models day to day for client projects and rely on the tools we build, and with colleagues developing a new plant monitoring product
• You will also help support our deployed systems and spend time on site, getting hands-on with the waste they sort
• As the team develops, you will help shape how we work, from code review to testing, and take on more responsibility for planning and decision-making
• Along the way you will build a deep understanding of our products and the waste sorting industry, keep up with advances in computer vision, and share what we learn across the company