opengreenhousegv
Senior Embedded Machine Learning Engineer (C++)
Scandit
LocationTampere
Last observed2026-06-13 05:23:24.825391
Job idgv-scandit:greenhouse:7951108
Machine Learning Engineer (C++, Computer Vision) Scandit gives people superpowers. Whether enabling delivery drivers to make quicker deliveries, matching a patient with their medication, or allowing retailers to make store operations more efficient, our technology automates workflows and provides actionable insights to help businesses in a variety of industries. Join us, as we continue to expand, grow and innovate, and help take Scandit to the next level. About the role We are looking for a new colleague to join the Label Capture team and work on creating digital twins of complex labels and identification documents. You will be responsible for evolving our current product by adding new features and optimizing the existing offering. You will work on computer vision and deep learning algorithms to improve information extraction from printed documents beyond state of the art. If these challenges sound interesting to you, we’d love to hear from you! What you will do Driving and solving semantic document parsing for our customer use cases Be involved hands on in all phases of end to end quality improvements (defining and tracking metrics, prototyping, testing, integration of existing models, creation of new models, data collection, analysis, debugging) Stay up to date with the latest research in document classification, text recognition and information extraction Set direction and identify opportunities to push boundaries of recognition Mentoring team members on code quality and engineering practices Who you are You are a senior engineer who is passionate about building, shipping, and improving machine learning-powered systems. You have a proven track record of bringing ML systems from prototype to production, with hands-on experience in on-device/edge deployment. You recognize that software development encompasses both technology and human interaction and feel comfortable working independently or on a team. While you stay on top of the state-of-the-art in CV/ML, you value proven technologies and small increments. You are creative and determined to solve real-world problems by thinking outside the box and making an impact. You thrive on tackling open problems, taking ownership, and effectively overcoming obstacles. You pay attention to details and at the same time are able to take pragmatic shortcuts to reach our goals. In particular, we are excited to hear from you if the following sounds like you: 5+ years of C++ production software engineering experience Hands-on ML model deployment experience, and a proven track record of launched products Fluency in C++ and Python Running ML models on-device Experience with relevant machine learning frameworks (Pytorch, Jax, Tensorflow) Skilled in software design, problem-solving, and debugging Experience in computer vision systems extracting information from printed documents or experience with fine-tuning of vision-language models is a plus What we offer Here are just some of the reasons why people choose to build their career at Scandit: A highly skilled team and a fun environment where you can put your enthusiasm for cutting-edge technologies to use Hackathons Flexible, office, hybrid or home working People-first culture Global team outings Festive/end of year all company celebrations Your birthday off An attractive individual equity plan in a growth company We are certified as a “Great Place to Work” in 7 countries! Excellent office infrastructure, optimized for hybrid working in Zurich, Warsaw, Tampere, and London Excellent support for remote work across Switzerland, Finland, Poland, UK, Italy and Germany Specific benefits related to the location you are joining Who we are Scandit enables enterprises and consumers to change the way they interact with everyday objects and augment the physical world with real-time data captured by scanning barcodes and recognizing text, objects, and other visual identifiers using smartphones, tablets, wearables, drones and robots. Scandit’s mobile data cap
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