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.
- 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.
- Other info: Work in a certified 'Great Place to Work' with excellent support for remote work across multiple countries.
The predicted salary is between 48000 - 72000 ÂŁ 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
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Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
Job function
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Job function
Information Technology and Engineering
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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
Contact Detail:
Scandit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Multi-frame Computer Vision Pipeline Expert
✨Tip Number 1
Familiarise yourself with Scandit's technology and products. Understanding how our barcode decoding technology works and the challenges it addresses will help you articulate your ideas and show your genuine interest in the role during discussions.
✨Tip Number 2
Network with current employees or alumni who have experience in computer vision or machine learning. They can provide insights into the company culture and the specific skills that are valued, which can give you an edge in interviews.
✨Tip Number 3
Prepare to discuss your past projects in detail, especially those involving multi-frame image processing. Be ready to explain your problem-solving approach and how you overcame challenges, as this will demonstrate your hands-on experience and technical expertise.
✨Tip Number 4
Stay updated on the latest trends and advancements in computer vision and machine learning. Being able to discuss recent developments or breakthroughs in the field can showcase your passion and commitment to continuous learning, which is highly valued at Scandit.
We think you need these skills to ace Multi-frame Computer Vision Pipeline Expert
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in computer vision and machine learning, particularly focusing on multi-frame image processing. Use specific examples of projects you've led or contributed to that align with the job description.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the role and the company. Discuss how your background in CV/ML aligns with Scandit's mission and how you can contribute to their barcode decoding technology.
Showcase Relevant Skills: Clearly list your technical skills, especially your proficiency in Python and any other programming languages mentioned in the job description. Highlight your experience with machine learning frameworks like Pytorch, Jax, or Tensorflow.
Demonstrate Problem-Solving Abilities: Provide examples in your application that showcase your problem-solving skills and creativity in tackling complex challenges in computer vision. This could include specific instances where you improved existing systems or developed new solutions.
How to prepare for a job interview at Scandit
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with multi-frame image processing and the specific technologies you've used. Highlight any projects where you've implemented complex CV pipelines, as this will demonstrate your capability to tackle the challenges Scandit faces.
✨Demonstrate Problem-Solving Skills
Expect to be asked about how you approach real-world problems. Prepare examples of how you've creatively solved issues in past projects, especially those involving low-resolution images or resource-constrained devices.
✨Communicate Clearly
Since the role involves mentoring and collaboration, practice explaining complex concepts in simple terms. This will show that you can effectively communicate with team members and contribute to a positive team dynamic.
✨Align with Company Values
Research Scandit's culture and values, particularly their focus on innovation and teamwork. Be ready to discuss how your personal values align with theirs, and how you can contribute to their mission of providing actionable insights across various industries.