Multi-frame Computer Vision Pipeline Expert

Scandit; United States; Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

Flexible working arrangements (office, hybrid, or home-based)

Hackathons

Team outings and company celebrations

Your birthday off

Attractive individual equity plan

Certification as a 'Great Place to Work' in 10 countries!

Job summary

A leading technology firm in the United States seeks a Senior CV/ML Engineer for its Barcode Decoding team. This role involves driving advancements in data capture technology, focusing on enhancing scan robustness and developing innovative pipelines. The ideal candidate holds a PhD in Computer Vision or Machine Learning with over 5 years of industry experience, and will mentor team members. Flexible working arrangements including office, hybrid, or remote are offered, alongside a people-first culture and various benefits.

Qualifications

• 5+ years of industry experience in solving multi-frame image processing problems.
• Proven track record of launched products.
• Experience leading projects and mentoring engineers.
• Strong understanding of CV/ML advancements.

Responsibilities

• Define and drive the technical roadmap for low-resolution and low-quality images.
• Develop and implement novel end-to-end pipelines.
• Identify opportunities to improve barcode scan robustness.
• Mentor team members in CV/ML and engineering practices.
• Contribute to shaping the team's direction and best practices.

Skills

Fluency in Python

Fluency in another language (e.g. C/C++)

Experience with machine learning frameworks (Pytorch, Jax, Tensorflow)

Software design skills

Problem-solving skills

Debugging skills

Education

PhD in Computer Vision or Machine Learning

Job description

Machine Learning Computer Vision CV/ML Engineer Barcode Decoding Image Processing

Join Scandit and empower businesses with cutting‑edge barcode scanning technology! As a Senior CV/ML Engineer in our Barcode Decoding team, you'll spearhead advancements in our Data Capture SDK, focusing on enhancing scan robustness and range. This role offers the chance to innovate within a successful product, shaping the future of scanning technology.

What you will do:

• Define and drive the technical roadmap for addressing challenges related to low‑resolution and low‑quality images, utilizing spatio‑temporal information and multi‑frame super‑resolution.
• Develop and implement novel end‑to‑end pipelines.
• Identify immediate opportunities to improve barcode scan robustness.
• Mentor 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 5+ years of industry experience in designing and implementing complex CV pipelines, including recognition (e.g., OCR) and multi-frame processing on edge/mobile devices. You're experienced in leading projects, mentoring engineers, and tackling challenging problems. You possess a strong understanding of both the latest CV/ML advancements and proven approaches for real‑world problem solving. You are creative, detail‑oriented, and determined to make an impact.

• 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

Nice to have:

• Experience optimizing models for resource‑constrained devices.

What we offer:

• A highly skilled team and a fun environment
• Hackathons
• Flexible working arrangements (office, hybrid, or home‑based)
• People‑first culture
• Team outings and company celebrations
• Your birthday off
• An attractive individual equity plan
• Certification as a 'Great Place to Work' in 10 countries!
• Excellent office infrastructure
• Excellent support for remote work
• Specific location‑based benefits

Scandit is committed to creating an inclusive and diverse environment.

How to Apply

Interested in this position? Please submit your resume and cover letter through the application portal.