Applied Scientist

Overview of Role

Sixone’s technology uses machine learning (ML) algorithms to advance our knowledge of consumer plastics. Our goal is to pioneer an ML technology to enable the recycling of complex plastic materials. Sixone has developed technologies for process digitalization and advanced analytics, built to enable efficient plastics recycling. The bridging of our chemical database and sensor readings has been shown to work for blended plastics and plastic-based products. We believe that the economics of recycled materials can be achieved through innovative processing and materials technologies.

This role focuses on building end-to-end ML systems that transform spectral, hyperspectral, and imaging data into actionable decisions for materials processing. You will work across the full stack: sensor data ingestion and calibration, feature extraction from high-dimensional spectral data, model development and model deployment into real-world recycling operations. Thi...