Senior Embedded ML Engineer - On-Device CV & C++

Scandit; Tampere; On-site; Full time

Job description

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.

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 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

• 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 “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

“Everybody is welcome here” - Is a celebrated component of our DNA.

At Scandit we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences and are proud to be a safe space for all.

All qualified applications will receive consideration for employment without regard to race, colour, nationality, religion, sexual orientation, gender, gender identity, age, physical [dis]ability or length of time spent unemployed.

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