Senior Machine Learning Engineer (Computer Vision)

Scandit; Italia; Ibrido; EUR 60.000 - 100.000; Tempo pieno

Descrizione del lavoro

Join a forward-thinking company that empowers individuals through cutting-edge technology. As part of the ShelfView team, you will tackle exciting challenges in machine learning and computer vision, enhancing retail operations with innovative solutions. Your expertise will drive the evolution of a state-of-the-art platform, allowing you to make significant contributions to the industry. Enjoy a flexible work environment, a culture that values diversity, and opportunities for professional growth. If you are passionate about solving real-world problems and thrive in a collaborative setting, this role is perfect for you.

Servizi

Flexible working options

Equity plan

Learning and development opportunities

Team outings

Birthday off

Festive celebrations

Competenze

• 7+ years of experience in ML and computer vision.
• Proven track record of product launches in recognition systems.

Mansioni

• Drive product recognition and quality improvements for retail applications.
• Mentor team members on code quality and engineering practices.

Conoscenze

Machine Learning

Computer Vision

Python

Problem Solving

Software Design

Formazione

Master's Degree in Computer Science or related field

Strumenti

Pytorch

Django

AWS

GitLab CI

MySQL

PostgreSQL

Descrizione del lavoro

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.

Our newest product, ShelfView, is a machine learning-powered platform for retail that enables real-time shelf visibility and empowers more intelligent and efficient store operations. With our scalable smart data capture technology via fixed cameras and mobile devices, retailers are on track to save tens of millions in operating expenses and generate tens of millions more in value for their customers.

We are looking for a new colleague to join the ShelfView team and work on creating digital twins of retail shelves. You will be responsible for evolving our current product by adding new features and optimizing the existing offering. You will work on computer vision and deep learning algorithms to improve shelf recognition beyond the state of the art. If these challenges sound interesting to you, we’d love to hear from you!

What you will do

• 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 the boundaries of recognition
• Mentoring team members on code quality and engineering practices

Who you are

You are an experienced ML engineer 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 experience bringing them from prototype to production.

You understand that software development involves both technology and human interaction and are comfortable working independently or in a team. While staying current with CV/ML advancements, you value proven technologies and incremental progress. You are creative, determined to solve real-world problems, and thrive on tackling open challenges, ownership, and overcoming obstacles. You pay attention to details and can also take pragmatic shortcuts to reach goals.

We are especially interested if you have:

• 7+ years of experience solving recognition problems with a proven product launch record
• Fluency in Python and another language (e.g., C/C++, Go, Rust)
• Experience with frameworks like Pytorch, Jax, TensorFlow
• Experience with cloud development (databases, service-oriented architecture, data pipelines)
• Skills in software design, problem-solving, and debugging
• Experience with visual search systems or retrieval-augmented LLM systems is a plus

Our tech stack

• Python 3.11, Pytorch, Django
• MySQL and PostgreSQL
• AWS, Kubernetes, GitLab CI

What we offer

Join Scandit and enjoy:

• Being part of a certified “Great Place to Work” in 10 countries
• Opportunities to work with world-class sales leaders and SaaS experts
• A smart, people-first culture
• An attractive equity plan in a high-growth company
• Flexible working options: office, hybrid, or remote
• Innovation hackathons and team outings
• Festive/end-of-year celebrations
• Your birthday off
• Learning and development opportunities
• Top-tier tech tools for productivity
• New HQ in Zurich and offices in London, Tampere, Warsaw, Singapore, Tokyo

Who we are

Scandit enables enterprises and consumers to interact with objects and augment the physical world with real-time data captured via smartphones, tablets, wearables, drones, and robots, using proprietary computer vision, AR, and ML technologies.

Our platform benefits industries like retail, logistics, manufacturing, healthcare, with clients including Sephora, Nissan, DHL, Levi’s, and more.

Founded by researchers from ETH Zurich and MIT, headquartered in Zurich with offices worldwide, we foster an inclusive environment where everyone is welcome. We are committed to diversity and equal opportunity employment.

“Everybody is welcome here” is a core part of our DNA. We believe diverse backgrounds and experiences strengthen our products and services.