Software Engineer, Helsing

• Strong Python skills: you know how to write clean Python code and organise functionality across Python modules
• Machine Learning experience: while you are not required to independently implement complex Machine Learning code, we require you to have a decent understanding of Machine Learning concepts that allow you to collaborate with our Machine Learning teams
• Experience transforming research prototypes into robust and scalable products running on cloud infrastructure or edge devices
• A cross-team player that can juggle multiple tasks and projects in parallel with ease
• Organisational talent: being able to independently organise short and long-lived tasks and projects that depend on internal and external stakeholders
• Friendly communication skills: you will collaborate with various internal and external stakeholders from different professional backgrounds

Desirable

• Setup and deploy scalable Machine Learning workloads relating to data pre-processing, model training, model evaluation and model inference on cloud infrastructure
• Work together with our Machine Learning teams, in particular on implementing code to gather data (e.g., dataset crawling), load and extract data (e.g., extract image frames from video files), transform data (e.g., standardise annotation information) and validate data
• Work together with internal and external stakeholders to generate more data, e.g., run tools that generate synthetic image data out of 3D models and run tools that generate synthesised image data by means of Machine Learning GAN models
• Take control of our data annotation tasks and toolsets (both with internal and external annotation suppliers)
• Implement and operate Helsing’s data management infrastructure, including data and model versioning, provenance, and pipelining
• Develop internal tools for automatic image annotation
• Make our Machine Learning models reproducible