Senior Embedded Machine Learning Engineer (C++)
External
Scandit · TamperePrepare for this interview
EliteAI-generated questions, company research, and talking points tailored to this role
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! 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 capture platform is built on proprietary computer vision, augmented reality, and machine learning technologies. Companies in industries such as retail, transportation & logistics, manufacturing, and healthcare can use Scandit's technology to create and power mobile apps for crucial enterprise workflows like mobile point of sale, mobile shopping, self-checkout, inventory management, and proof of delivery. Many of the world's most innovative and successful companies are benefiting from Scandit's enterprise-grade mobile data capture platform, including Sephora, Nissan, DHL, and Levi Strauss & Co. Scandit was founded by a group of researchers from ETH Zurich and MIT. The company is headquartered in Zurich and is also represented in Boston, London, Warsaw, Tokyo and Tampere. Over the years, our company has evolved into a world-class team of mobile image processing, cloud-computing and "Internet of Things" experts from around the globe. "Everybody is wel
Responsibilities
- 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
Requirements
- 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.
- 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
Benefits
Additional Information
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.
Your Match
How well this role fits your profile.
Company Intel
What employees say
Worked at scandit? Share your experience