Do you share our belief that data-driven innovation will lead to access solutions that make a difference in our daily life? Make it seamless, make it more convenient while keeping security and safety the highest priority. Maybe this job as a Machine Learning engineer is for you! A rare opportunity to join the R&D of a company leading the way in its industry.
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Job description
As a Machine Learning engineer, you will work together with creative, curious, and knowledgeable people like yourself. Together we will create the next generation access solutions empowered by AI. Our projects portfolio includes data analysis, machine learning and applied AI exploration and concept innovation projects. In our work to understand what goes on around a door we use powerful sensors combined with local or cloud compute where our machine learning models are continuously improved. As talented as our team is, we are in a work-in-progress-mode and that our best is yet to come. We support each other in our curiosity and creativity, through thoughtful discussion, mentorship, and knowledge-sharing among a diverse set of peers and colleagues. At this point we have one opening for a senior machine learning engineer.
What we are looking for
Foremost, we think you are open-minded, curious, a team-player who take pride in contributing at a high level and that you are passionate about work. System engineering and programming experience in Python or other relevant language is required as we expect you to be hands-on coding from the start. We do machine learning in the Cloud, Edge and on small devices. Quite a lot has to do with video, depth sensors, radar, sound, accelerometer and appropriate algorithms in isolation or collaboration. Skills that would bring value to us as well are Docker, Serverless, Cloud architecture, Mobile, Embedded, Image processing, Data pipeline, BigQuery/NoSQL, Timeseries and Graph Databases. We encourage you apply if you have a degree in computer science or similar and significant professional machine learning experience.
Contact and application
Please send us your CV and a cover letter at careers@precigent.solutions.
We will interview candidates continuously. If you think this opportunity matches your interest, apply already today!
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