Senior CV/ML Engineer - Multi-Frame Vision for Barcodes

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

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.