Assignment description

As a Senior Data Acquisition Engineer, you will be a member of the Data team with responsibility for running data acquisition and annotation projects, developing software and processes for data acquisition, processing and annotation along with supporting and coaching more junior colleagues. You will work closely with all of the segments and products and be crucial in promoting the clients data-driven algorithm development and evaluation. The role requires a high level of flexibility both in technical and practical aspects and allows for a lot of creativity and innovation in improving our processes.

You will work closely with colleagues in both Sweden and other places in the world.

Your days will be filled with:

• Developing and maintaining their data aquisition software – which you also will be an end user of
• Taking lead in automate data acquisition processes (automatic recruitment, creating interactive instructions systems etc.)
• Close cooperation with the rest of Engineering department, plan and execute data acquisition projects
• Mentoring and coaching more junior colleagues
• Taking lead in solving problems that has no perfect solution (for example how do we measure the ground truth of a head pose?)
• Research and gaming, driver monitoring systems for automotive, etc.

We are looking for someone who:

• Has at least 2 years of professional experience in Python and modern C++
• Has a Bachelor’s or Master’s degree in Engineering, Computer science or equivalent
• Wants to be a ”Swizz Army knife” of technology knowledge
• Enjoys interacting with people

We also think that you are proactive about developing processes for efficiency improvements. To be able to execute in this role you need to be comfortable meeting new people and conducting data collection with participants in Stockholm and sometimes abroad.

It is meritorious if you also have:

• Interest in automation and mentoring
• Experience with any sort of project management
• Experience of working with video/cameras/images
• Professional experience of machine learning
• Experience in a public-facing role