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. It provides actionable insights to help businesses in a variety of industries. Join us as we continue to expand, grow, innovate, and help take Scandit to the next level.

About the role

Our Barcode Decoding team is looking for a Senior CV/ML Engineer to define and drive significant improvements to the core barcode decoding technology in our Data Capture SDK. The focus is on creating next-generation technology that will boost scan robustness and extend barcode scanning range beyond state of the art, while also identifying short-term opportunities for immediate improvements that delight our customers.

This is an opportunity to innovate from the ground up within a successful, real-world product, understanding its current architecture to create impactful advancements and shape the future of Scandit's market-leading scanning technology.

What you will do

Define and drive the technical roadmap to address core challenges posed by low-resolution and low-quality image inputs, leveraging spatio-temporal information, including multi-frame super-resolution.
Develop and implement novel end-to-end pipelines.
Identify short-term opportunities for immediate barcode scan robustness improvements.
Provide technical mentorship to other team members in CV/ML, software development, and engineering practices.
Contribute to shaping the team's direction and technical best practices.

Who you are

You have a PhD in Computer Vision or Machine Learning, with a focus on multi-frame image enhancement or end-to-end vision systems. You bring over 5 years of industry experience designing, implementing and shipping complex CV pipelines involving recognition (e.g., OCR) and multi-frame processing on edge/mobile devices.

You've led projects, mentored engineers, and taken ownership of technically challenging problems. While you stay current with the latest in CV/ML, you also understand the value of incremental, proven approaches to solving real-world problems. 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.

You feel comfortable working alone or in a team and have a track record of mentoring engineers and navigating challenging situations. You have excellent communication skills and can effectively break down complex problems and solutions. Given broad goals, you can plan work, identify dependencies, and set realistic timelines

In particular, we are excited to hear from you if the following sounds like you:

PhD plus 5+ years of industry experience solving multi-frame image processing problems with a proven track record of launched products
Fluency in Python and another language (e.g. C/C++)
Hands on experience with relevant machine learning frameworks (Pytorch, Jax, Tensorflow)
Skilled in software design, problem-solving, and debugging
Experience optimizing models for resource-constrained devices 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
Team outings
Festive/end of year all company celebrations
Your birthday off
An attractive individual equity plan in a high growth company
We are certified as a "Great Place to Work" in 10 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

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

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Multi-frame Computer Vision Pipeline Expert