Senior Computer Vision and Machine Learning Engineer

This senior engineer designs, trains, evaluates, and optimizes computer vision and machine learning models at a deep technical level. The role is not limited to integrating pre-built APIs or off-the-shelf pipelines; it addresses real-world challenges across logistics hubs, distribution centers, and factories.

Potential applications include detecting and tracking workers, vehicles, and packages, analyzing space utilization, and interpreting worker activity to identify productive workflows and operational inefficiencies. The work contributes to a digital twin platform.

The engineer leads technical direction, defines standards, and works with a high degree of autonomy. Responsibilities include shaping the team’s approach to difficult problems, influencing architecture across the computer vision and machine learning stack, and helping develop other engineers.

The posting values a strong research background, including PhD-level expertise in a relevant field. A PhD is not required; substantial applied experience and a comparable level of technical rigor are also accepted. The role is part of a small, high-ownership team in which technical judgment directly influences product direction and real-world impact.

The job location is Tokyo.