Senior Machine Learning Engineer

Summary

Join Scandit, a company that empowers businesses with innovative technology, as a Machine Learning Engineer to contribute to the development of ShelfView, a machine learning-powered platform for retail. You will be responsible for enhancing the product by adding new features and optimizing existing ones, focusing on computer vision and deep learning algorithms to improve shelf recognition. This role involves hands-on involvement in all phases of quality improvement, staying up-to-date with the latest research, setting direction for recognition advancements, and mentoring team members on code quality and engineering practices.

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
• While you stay on top of the state-of-the-art in CV/ML, you value proven technologies and small increments
• 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
• 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

• Driving and solving 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

• We are certified as a “Great Place to Work” in 10 countries!
• Opportunity to work with world-class sales leaders and SaaS experts
• Smart, people-first culture
• An attractive individual equity plan in a high growth company
• Flexible, office, hybrid or home working
• Innovation hackathons for all - not just the techies
• Global team outings
• Festive/end of year all company celebrations
• Your birthday off
• Learning and development opportunities
• Top notch tech pack to enable you to do your most productive work
• Brand new optimized-for-hybrid working HQ in Zurich as well as local offices in hotspots London, Tampere, Warsaw, Boston, Singapore and Tokyo
• As well as specific benefits related to the location you are joining