Multi-frame Computer Vision Pipeline Expert

Multi-frame Computer Vision Pipeline Expert

Full-Time 48000 - 72000 £ / year (est.) Home office (partial)
Scandit

At a Glance

  • Tasks: Lead the development of cutting-edge barcode decoding technology and mentor fellow engineers.
  • Company: Join Scandit, a tech innovator empowering industries with supercharged workflows and actionable insights.
  • Benefits: Enjoy flexible working options, team outings, and a birthday off, plus an attractive equity plan.
  • Other info: Work in a certified 'Great Place to Work' with excellent support for remote work across multiple countries.
  • Why this job: Be part of a fun, inclusive culture that values creativity and real-world problem-solving in tech.
  • Qualifications: PhD in Computer Vision or ML with 5+ years of experience in complex CV pipelines required.

The predicted salary is between 48000 - 72000 £ per year.

5 days ago Be among the first 25 applicants

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.

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.


#engineering


Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Information Technology and Engineering
  • Industries

    Software Development, IT Services and IT Consulting, and Technology, Information and Internet

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Multi-frame Computer Vision Pipeline Expert employer: Scandit

At Scandit, we empower our employees to innovate and excel in a dynamic, people-first culture that values creativity and collaboration. With flexible working options, a highly skilled team, and opportunities for professional growth, you will thrive in an environment that celebrates diversity and encourages personal development. Join us in our state-of-the-art offices across Europe, where your contributions will directly impact the future of cutting-edge technology in barcode scanning.

Scandit

Contact Details:

Scandit Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Multi-frame Computer Vision Pipeline Expert

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Scandit or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Scandit.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Scandit.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Scandit that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Multi-frame Computer Vision Pipeline Expert

PhD in Computer Vision or Machine Learning
5+ years of industry experience in CV pipelines
Expertise in multi-frame image enhancement
Proficiency in Python and C/C++
Hands-on experience with machine learning frameworks (PyTorch, Jax, TensorFlow)
Strong software design skills
Problem-solving and debugging expertise

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Scandit.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Scandit and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Scandit

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Scandit uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.