Senior Machine Learning Engineer

Summary

Join Scandit's ShelfView team as an experienced ML engineer to build and improve machine learning-powered systems for retail shelf visibility. You will drive product recognition, enhance quality through all development phases, and stay current with cutting-edge research. This role involves hands-on work with computer vision and deep learning algorithms, mentoring team members, and setting the direction for recognition technology. Scandit offers a collaborative and fun environment with excellent infrastructure, remote work support, and various benefits. The ideal candidate possesses 7+ years of experience in solving recognition problems, fluency in Python and another language, and experience with relevant ML frameworks and cloud-based development.

Requirements

• You are an experienced ML engineer who is passionate about building, shipping, and improving machine learning-powered systems
• You have a proven track record of delivering state-of-the-art computer vision systems with a cloud component and firsthand experience bringing them from the prototyping stage to production
• You recognize that software development encompasses both technology and human interaction and feel comfortable working independently or on a team
• 7+ years of experience solving recognition problems in the industry with a proven track record of launched products
• Fluency in Python and another language (e.g. C/C++, Go or Rust)
• Experience with relevant machine learning frameworks (Pytorch, Jax, Tensorflow)
• Have firsthand experience with cloud-based development (databases, service-oriented architecture, data pipelines)
• Skilled in software design, problem-solving, and debugging

Responsibilities

• Drive and solve fine-grained product recognition on retail shelves for our customer use cases
• Be involved hands-on in all phases of end-to-end quality improvements (defining and tracking metrics, prototyping, testing, integration of existing models, creation of new models, data collection, analysis, debugging)
• Stay up to date with the latest research in detection, segmentation and long-tailed object recognition
• Set direction and identify opportunities to push boundaries of recognition
• Mentoring team members on code quality and engineering practices

Preferred Qualifications

Experience in building visual search systems or a retrieval-augmented LLM systems is a plus

Benefits

• A highly skilled team and a fun environment where you can put your enthusiasm for cutting-edge technologies to use
• Excellent office infrastructure, optimized for hybrid working in Zurich, Warsaw, Tampere, and London
• Excellent support for remote work across the UK, Italy and Germany
• Innovation hackathons
• People-first culture
• Global team outings
• Festive/end of year all company celebrations
• Your birthday off
• An attractive individual equity plan in a high growth company
• Do good and give back with 2 impact days where you are able to give time to one of our trusted nonprofit partners
• Specific benefits related to the location you are joining