Senior Computer Vision Engineer, Scandit
+ Equity plan
Smart data capture for the modern enterprise
Be an early applicant
Smart data capture for the modern enterprise
201-500 employees
Be an early applicant
+ Equity plan
201-500 employees
Company mission
To give superpowers to workers, customers, and businesses by providing actionable insights and automating end-to-end processes.
Role
Who you are
- You have completed a MSc or PhD in the area of computer vision/deep learning and have at least 5 years of experience in solving computer vision problems. You have a proven track record of delivering state of the art computer vision algorithms and first hand experience bringing them from prototyping stage to production. More specifically, we are excited to hear from you if:
- You have a proven track record of developing high quality computer vision algorithms (e.g. publications, launched products)
- You are fluent in Python and another language (e.g. C/C++, Go or Rust)
- You have experience with relevant machine learning software packages (Pytorch, Tensorflow, scikit learn, OpenCV)
- You are skilled in software design, problem solving and debugging
- You can work independently as well as in a team
- You are creative and determined to solve real world problems, pay attention to details, but can take pragmatic shortcuts to reach our goals
- Ideally you have experience in building systems for visual localization and navigation (eg. SLAM), 3D reconstruction, visual representation or visual search
What the job involves
- We are now looking for a Senior computer vision / machine learning engineer 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 applied computer vision problems, including 3D representations and machine learning algorithms to improve the methods our customers can establish, organize and update the digital representation of shelves in their supermarkets
- Focus on solving problems around (3D) reconstruction, representation and localization of retail shelves
- Implement, analyze and improve end-to-end quality metrics for such digital shelf representations
- Be involved in all phases of model development including data collection, data analysis, prototyping, testing, but also optimizations for production readiness
- Help defining the architecture and provide technical leadership for the processing algorithms, in close collaboration with other team members
- Stay up to date with the latest research that is relevant to our work
- Extend our product offering to run in real-time and on the edge
- Mentor ML / CV engineers
Our take
Scandit leverages the cameras found in smartphones, tablets, wearables, and other devices such as drones to enable direct interaction with products. Scandit technology enables the cameras on these devices to scan barcodes and other product data.
Supported by a successful $150 million raise, the company has continued to innovate in the area with its focus on the Microsoft Hololens and other wearable displays as ways to help streamline warehouses.
Augmented reality is forecast to become a huge industry in itself, and as one of the early movers in the space, Scandit is well placed to further capitalise on the trend.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 8 rounds)
Feb 2022
$150m
SERIES D
May 2020
$80m
SERIES C
Total funding: $274.5m
Company benefits
- Additional day off on your birthday
- Hybrid working
- Health insurance & pension
- Equity plan
Company values
- Pioneer spirit - Be part of something big, set yourself challenging goals, embrace failure and have an impact
- Dedication - Take ownership, strive to make things better every day and encourage others to do the same
- Innovation - See every problem as an opportunity to innovate and contribute to a better solution
- Team spirit - Respect your team members, be open and have a voice, trust yourself and others, and expect the same in return
- Getting things done - Find a good balance between quality and impact. Don't overanalyze and deliver results
- Fun - Don’t take yourself too seriously and have fun
Company HQ
Escher Wyss, Zürich, ZH
Articles
Leadership
Samuel Mueller
(CEO)Started his career as a researcher for IBM's research lab. Has a PhD in Computer Science from ETH Zurich.
Christian Floerkemeier
(CTO & VP of Product)Previously Associate Director of MIT's Auto-ID lab. Has a PhD in Computer Science from ETH Zurich.
Christof Roduner
(CIO)Senior research scientist at ETH Zurich, after completing a PhD in Computer Science.
People progressing
Joined as a Software Engineer. Promoted to Senior Engineer after 3.5 years. Then promoted again to be Technical Lead after 1 year. Now works as a Senior Staff Software Engineer & Chapter Lead after being promoted another two times in 3 years.
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