Algorithm Team Lead
Algorithm Team Lead
Shopic
Tel Aviv-Yafo, Tel Aviv District, Israel
See who Shopic has hired for this role
Shopic is the world leader in computer-vision based smart-carts for supermarkets. Thanks to the work of our Algo Team, shoppers in some of the world’s largest supermarket chains can add items to their shopping cart naturally, with our system recognizing the item added at an amazing accuracy and out of the store’s entire catalog (dozens of thousands of items!). This enables a lightning speed checkout, along with personalization and optimization features for both the shopper and the retailer.
This revolutionary product is transforming the way people shop for groceries worldwide, and you can be a significant part of it.
Responsabilities:
As the team lead, you will focus on leading a talented research team specializing in cutting-edge and unique algorithms in object detection, classification, activity recognition, tracking, and other new and interesting fields, all in a real-world environment, solving actual problems for our customers and our product. You will institute and manage research procedures, and work closely with colleagues from other R&D teams, as well as other departments in the company.
Requirements:
This revolutionary product is transforming the way people shop for groceries worldwide, and you can be a significant part of it.
Responsabilities:
As the team lead, you will focus on leading a talented research team specializing in cutting-edge and unique algorithms in object detection, classification, activity recognition, tracking, and other new and interesting fields, all in a real-world environment, solving actual problems for our customers and our product. You will institute and manage research procedures, and work closely with colleagues from other R&D teams, as well as other departments in the company.
Requirements:
- Demonstrated proficiency in AI, machine learning, and computer vision technologies.
- Minimum of 7 years hands-on experience in (one or more of the following subjects) classification, object detection, tracking, segmentation, and localization.
- Proven track record of leading computer vision teams for at least 2 years, providing guidance, mentorship, and support for successful project implementation and deployment.
- Ability to translate business and product requirements into algorithmic solutions. Strategic mindset to identify opportunities for innovation and optimization within the organization's product offerings.
- Excellent communication skills and the ability to collaborate effectively with cross-functional teams, including product management, engineering, operations, and support, toward company goals.
- Ability to reflect and explain complex problems in a clear, simple way to both internal and external stakeholders.
- Strong analytical and problem-solving skills, focusing on delivering practical, scalable solutions to address real-world challenges in the retail industry.
- Ability to excel in a fast-paced, dynamic startup environment, where priorities may shift, and new challenges arise regularly.
- MSc. or higher degree in Computer Science, Engineering, Mathematics, or a related field. A PhD in computer vision is an advantage.
- A mindset of collaboration and support.
-
Seniority level
Director -
Employment type
Full-time -
Job function
Information Technology -
Industries
Software Development
Referrals increase your chances of interviewing at Shopic by 2x
See who you knowGet notified about new Team Lead jobs in Tel Aviv-Yafo, Tel Aviv District, Israel.
Sign in to create job alertSimilar jobs
People also viewed
-
Help Desk Team Lead
Help Desk Team Lead
-
Project Manager Team Lead
Project Manager Team Lead
-
Business Development Team Lead
Business Development Team Lead
-
Project Team Lead
Project Team Lead
-
Payroll Team Lead, Israel
Payroll Team Lead, Israel
-
Infra Team Lead
Infra Team Lead
-
Account Managers Team Lead
Account Managers Team Lead
-
SEO Team Lead
SEO Team Lead
-
Technical Support Team Lead
Technical Support Team Lead
-
QA Team Lead
QA Team Lead
Looking for a job?
Visit the Career Advice Hub to see tips on interviewing and resume writing.
View Career Advice Hub