Deep Learning Engineer – Perception

Level

Middle

Department

Type

Full Time

Project

Imagry

Locations:

Haifa

Hybrid

Job Details

Posted on:

October 21, 2025

Job ID:

About the Company

Established in 2004, ALLSTARSIT was founded with a clear vision: to enhance the landscape of global IT employment by bridging the gap between companies and skilled professionals. The core belief was that assembling a team shouldn't be hindered by geographical constraints. Fast forward to the present day, ALLSTARSIT stands as an international outstaffing service provider committed to change the way businesses recruit, compensate, and oversee top talent worldwide.

With operational hubs scattered across Europe, Asia, and LATAM, and its headquarters situated in San Francisco, US, the company boasts a workforce of over 1,000 adept professionals. Spanning across more than 20 countries, ALLSTARSIT offers a diverse range of skilled employees across various verticals, including AI, cybersecurity, healthcare, fintech, telecom, media, and so on.

About the Project

We are looking for a talented Deep Learning Engineer to join our R&D team. The engineer will work on devising, developing, and integrating novel deep vision-based Perception algorithms at the heart of our autonomous driving system. This is an opportunity to work on cutting-edge deep vision methods, develop and innovate new ideas, and see them deployed on the road in our autonomous vehicles.

Specialization

Headquarters

Years on the market

Team size and structure

Current technology stack

Required skills:

M.Sc. in Computer Science, Electrical Engineering, Physics, or other quantitative field from a leading university.
Outstanding B.Sc. graduates in AI/Data Science–focused programs may also be considered
A proven track record of at least 2 years of hands-on experience developing and deploying deep learning models in academia and/or industry, including integration into real-time systems.
Experience and knowledge in computer vision and image processing algorithms, including object detection, classification and semantic segmentation.
In-depth, hands-on knowledge of deep learning fundamentals
Hands-on experience with deep learning frameworks such as PyTorch
Strong mathematical aptitude, with emphasis on probability, vector algebra, and geometry
Proficiency in Python programming
Familiarity with Git and modern software development workflows
Experience in conducting long-term development and/or research projects, in either academia or industry
Proficiency in English, both written and spoken
Team player – fosters a positive and cooperative work environment by maintaining strong collaboration within the team and building productive relationships with other teams across the company

Nice to have:
Publications in top-tier journals or conferences on algorithms, computer vision, or deep learning
Basic proficiency in C++
Experience with Linux

Scope of work:

Work closely with deep learning engineers and tech leaders across the company, demonstrating flexibility and effective communication in a global, multi-time-zone environment
Supervise complex data pipelines, from the collection stage, through annotation, to models training
Design and optimize deep neural networks, involving innovative feature engineering
Take an End-to End responsibility over medium to long-term projects
See projects through from research to deployment
Devise and implement performance metrics
Communicate, present and visualize results
Align the algorithms with the product needs