Are you a problem solver ? Then, we look for you !
SagivTech is looking for a Computer Vision & Deep Learning Developer to join the team !
We look for people who are fast learners, are happy to face new challenges, can work in a team or independently, and are fun to work with.
– MSc in computer science
– Background in general algorithms and computer vision algorithms (Experience is best but extensive hands on academic background is also cool)
– Knowledge in Deep Learning
– Experience with a variety of cameras/sensors/depth cameras – an advantage
– Programming languages: C++, python
– Experience with OpenCV
– Experience in Matlab – an advantage
– Feel comfortable in different OS's (Windows/Ubuntu)
– Ping Pong / Chess skills are an advantage
What we offer:
– CV/DL developer position
– A boutique projects company that delivered dozens of projects in the last 12 years
– An opportunity to work on a variety of problems
– Small team of problem solvers
AI Research Intern – Microsoft’s Commerce AI Research Team
The Microsoft’s Commerce AI team in Israel is a fast-growing team responsible for designing and building machine / deep learning algorithms for a wide array of Microsoft commerce products such as Microsoft Dynamics365, Xbox Games, Movies, Music, Windows Store, and much more. We develop cutting edge machine / deep learning algorithms that serve millions of users around the globe. Our team is looking for research interns to join one of the best machine learning groups in the country.
We’re looking for experienced top-notch Data Scientists and Machine Learning experts to help us build and improve our core algorithms and to develop novel cancer diagnostic tests. In this role, you’ll work on huge, unique datasets of high-resolution pathology images and clinical records from leading institutes worldwide, develop and optimize AI-based solutions for complex problems using cutting-edge technology, integrate your algorithms into our products and receive feedback from clinicians using them in live clinical settings, and work closely with our multi-disciplinary team of Machine Learning experts, experienced software developers and medical professionals.
At Axilion we help cities overcome urban mobility issues by harnessing the power of AI.
Today, traffic lights are planned not nearly as often as traffic patterns change.
Our technology recreates entire cities digitally, based on real-world data, enabling automated planning of traffic signals.
Harness all your smarts and enthusiasm and join our team to develop algorithms that affect hundreds of millions of people every day all around the world.
Once you join us you will:
Your work will range from early research and feasibility studies, through algorithm definition, software implementation and understanding feedback from the field to improve performance in the real product.
How hard is it to identify vehicles in a picture?
It is not very difficult to identify a normal car, but on the road we may encounter cases that are not routine.
The challenge our team faces is to correctly identify what meets the definition of a "vehicle" and what does not. The task is challenging since we need to do it within real-time constraints and with great accuracy.
Which department will you join?
A leading algorithms group in Mobileye is looking for full time algorithm developers to take part in shaping the future of driving.
Autonomous driving applications require sensing capabilities in the highest resolution possible. Accurate Image semantic and instance segmentation capabilities provide the fine grain understanding of a driving scene and can be further structured into higher level signals and applications (object detection, “FreeSpace” of the road, lanes segmentation, and countless others).
The task of building up these capabilities goes through obtaining a massive amount of accurate, diverse, and multi-layered labels, which is practically infeasible using human annotation methods.
We tackle this challenge at Mobileye with an algorithmic approach, creating automatically annotated data using various algorithms, including image processing, classic machine vision, machine and deep learning, bundle adjustment, etc.’.
The scope of our algorithmic activity varies between a focused inspection of small and accurate amounts of data, where meaningful insights can be derived using sophisticated algorithms, through the challenges of handling very large datasets where efficiency and data centric approach is required, and gaining insights where accurately labeled data is not available, transforming it to accurate labels, using classical methods or ML methods (e.g Self and Semi Supervised learning).
How your job will look like?
We’re aiming to solve extra difficult problems and raise the bar for what autonomous vehicles are capable to do and keep advancing at an increasing pace to beat all our competitors. For that we need you, come and join us!
All you need is:
Availability for full-time position, BSc in Computer Science/Engineering or in close fields.
Familiarity with: ML, DL, C++, Python, Shell scripting – Advantage
Degree from familiar university – Advantage
Relevant work experience – Advantage
SuperSmart is looking for a deep learning engineer with experience in computer vision.
SuperSmart is a self-checkout services provider in the field of retail. In Israel it is represented in the Osher Ad supermarkets.
Offices are located in Rosh Haayin. Partially remote work option is available.
Good balance between work and personal life. Family atmosphere.
The problem we are trying to solve is not trivial and challenging. If you like challenges, we are looking forward to seeing you in our squad.
Computer Vision Researcher
Research and implement state-of-the-art computer vision algorithms.
Knowledge of SLAM algorithms.
Knowledge of estimation theory, sensor fusion, Kalman filters.
Knowledge of large scale optimization methods (e.g. bundle adjustment).
Skills and qualifications: