Computer vision

SeeTrue is a leader in modern computer vision (CV) and machine learning (ML) practices.

The Algorithms team is in charge of creating cutting edge algorithmic solutions aimed to automatically detect a wide variety of threats within X-ray and CT security scans. These solutions will help the existing (manual) analysis/detection processes become faster and more accurate.

As a researcher on the team, you will get a chance to work alongside some of the best minds in the field and implement the latest ML and CV algorithms, in a multidisciplinary and dynamic environment.


    • Research, design and develop CV, ML and DL based algorithms to detect a wide variety of threats within X-ray and CT security images
    • Work with a multi-disciplinary team of security experts and engineers to deliver an end-to-end product: from the idea phase, through collecting and assessing the data, exploring algorithmic approaches, developing, testing, validating and integrating the algorithm in the production environment
    • Read and implement algorithms publications in the field of CV, ML and DL
    • Contribute to the team’s methodologies, best practices and toolset, share your work and give/receive feedback from peers in the team
    • Provide technical guidance to fellow team members
    • Show a strong understanding of software development (in Python & C++) and how to translate Algo ideas into bullet-proof software


    • M.Sc. in computer science or electrical engineering (preferably in the field of ML/DL and CV)
    • 5+ years experience in CV and ML (ideally python based)
    • 2+ years experience in DL – advantage
    •  2+ years of python coding experience-  a must
    • Great problem-solving skills, and drive for creativity and innovation
    • High achiever, with determination and persistence
    • Strong communication and collaboration skills
    • Team player, positive and driven, fast learner
    • Ph.D. – advantage
    • Leadership experience – advantage

About us:

JoyTunes is reinventing the way we learn, play and experience music, making it possible for anyone to play a musical instrument. With our top grossing piano apps and the recently launched guitar learning app, JoyTunes is on the fast track to building a global consumer subscription company, becoming the music education center of every household worldwide across instruments and demographics. With over a million monthly downloads and hundreds of thousands of daily learners around the world, we are proud to be helping everyone achieve their musical dreams.

About the position:

The base of all JoyTunes products is our acoustic recognition engines, which allow us to give our users real-time feedback on their musical playing. In this role, you’ll be delivering an order of magnitude improvement in our current capabilities. You will have full, end-to-end responsibility for cutting edge algorithms, signal processing solutions, and machine learning systems. You will lead the way from idea, through research and development, to implementation in JoyTunes products, directly shaping the experience of millions of users.

About you:

  • Love to tinker with signals 🙂
  • BSc Electrical Engineering / Physics / Computer Science or other relevant degree
  • 3+ years’ experience applying algorithms / signal processing to real world problems
  • Good problem solving and analytical abilities
  • Fast learner, willing to try things out of your comfort zone
  • Team player, with strong verbal and written communication skills
  • Machine learning experience – Advantage
  • Love music (who doesn’t) – Advantage

Computer Vision Researcher

Prospera Technologies

Prospera Technologies

Prospera is an AgriTech company that develops intelligent solutions for farmers to grow crops more efficiently.

The company develops both hardware and software solutions that collect and analyze worldwide multi-sensor data with state-of the-art machine learning algorithms. We develop algorithmic solutions for irrigation optimization, pest and disease detection (crop protection), fertilization optimization and  much more!

Job Title

We are now looking for a data scientist with a specialty in computer vision!

Come and join our data science team. Put your skills to solve real world problems, develop state-of-the-art deep learning algorithms combining multi-spectral images with sensor data. Deal with data collected worldwide on a daily basis. Be part of a strong and growing team of algorithm researchers.

Skills & Experience

M.Sc./Ph.D. – in Computer Science / Mathematics / Physics with specialization in solving computer vision problems, or equivalent (3+ years) industry experience.

2+ years of hands on experience solving deep learning computer vision problems.

Strong background in machine learning and deep learning.

Strong technical skills.

Experience with cloud computing frameworks.

Ability to initiate and lead machine learning projects end to end.

Passionate about data!

R&D Manager


Cybord develops technologies that stop counterfeit, defective, and malicious electronic components from getting assembled into products during the manufacturing process. We use computer vision, deep learning algorithms and our global component database.  

We are looking for an R&D manager with the following talents:

  • Product development
  • Data science
  • Image processing
  • Software development
  • Hands-on programming
  • Start-up spirit

Data scientist


Shibumi-AI is now full remote, and we are recruiting!

We are looking for a data scientist, with CV expertise, for a strong and diverse team. There is also an option for a part-time position.

We are looking for people who love, live, and breathe data science and understand the challenges of the field.

Mandatory Requirements:

  • Python programming at a very high level

  • ML knowledge

  • Expereince in deep learning computer vision projects

  • Relevant BSc

Nice to have:

  • Work portfolio/Git/Kaggle

  • MSc

  • Relevant courses

About us:

Shibumi-AI is a data science solution company from Tel Aviv.

We help companies to solve data-related tasks and develop ML related features

So if you are the kind of person who likes to learn new domains, solve problems, and develop production-ready solutions, this might fit.

Image Processing Algorithm Engineer

PlaySight Interactive

For continuing its innovation and developing its core products, PlaySight is looking for a skilled image processing software engineer to join its team. The role will consist in improving the current production algorithms and continue further in research and development for new products. The position is open to both image processing experts with good C/C++ development skills and C/C++ advanced developers with good image processing knowledge.


  • Optimize and maintain the core algorithms of PlaySight.
  • Research and develop new creative product features
  • Implement efficient and sturdy software solutions
  • Keep up to date with state-of-the-art image processing techniques


  • Have a first degree in Computer science.
  • Have image processing experience
  • Be autonomous, motivated and with a positive but critical mindset
  • Have a professional working proficiency in English, written and spoken


  • Knowledge of:


  • Different Deep learning algorithms.
  • image processing fundamentals
  • Pattern recognition, classifier design
  • Object detection & tracking
  • C and C++ language capabilities
  • GPU programming
  • Thorough understanding of algorithm design and data structures


  • Camera technology
  • Have a first degree in Physics.
  • Familiarity with testing mechanisms
  • Advanced usage of version control systems (e.g., TFS)
  • Camera calibration, multiple view geometry
  • Image & video compression methods

TetaVi, a startup in the field of 3D video reconstruction, is looking for a Senior Algorithm Engineer to join our HQ and R&D center in Tel-Aviv.


>Computer vision expert with strong 3D background
>Matlab experience
>Deep Learning experience


Since its founding in 2016, the TetaVi team has been at the forefront of developing the leading portable volumetric video capture system that creates high fidelity holograms for immersive experiences. Using computer vision and machine learning, we are enabling the next generation of AR/VR/XR experiences.

TetaVi recently announced a successful series A round of $4 million led by private and returning investors.
Headquartered in Ramat Hachayal, Tel Aviv Israel, TetaVi retains a presence in Tel Aviv, New York, Los Angeles, and Tokyo through its partners and portable studios.

Msc in electrical engineering or computer science or Bsc with honors along with relevant courses for computer vision/image processing/machine learning.

1-2 years of work experience in computer vision/image processing algorithm development

Experience with python/matlab

Experience with C++ an advantage

Experience with homographies, features, image blending, energy functions, optimal path estimation algorithms a big advantage

Experience with stereo imaging in all aspects – calibration, rectification, registration, disparity map estimation etc…an advantage

Have you ever dreamed of working in a B2C startup that combines Sport, Deep technology, and a "Pink" style?

Join a fast-growing mobile AI startup, located in the heart of Tel Aviv, and be a part of a small group. Our first product is the world’s first Computer Vision mobile application for fitness training. fitV brings real-time workout feedback capabilities, uses the smartphone camera, that helps trainees to boost their workout anyplace and anytime.

We’re a seed-stage funded startup, launched in 2019, and our investors are key players in the global sports industry.

We are looking for a talented ML ops engineer:

You will be leading the development of our core AI technology, working side-by-side with our algorithm engineers and our mobile developers, developing infrastructure for the full ML pipeline from data pipeline ETL, preprocessing, versioning, through training and optimization, to wrapping and deploying in production on mobile platforms. Eventually, you will have full responsibility and ownership of developing and maintaining the ML solution pipeline, you will take a significant role in the company’s core tech. 

We want to know if you:

  • Love sports (a big plus!)
  • Have extensive software development experience of deep learning solutions in the computer vision domain
  • Have experience in deploying and integrating ML solutions in production environments (mobile environment – an advantage)
  • Hold B.Sc in CS/EE/CE majoring with ML/DL projects
  • Are experienced with ML developing environments and cloud service providers (AWS/Azure/GCP)
  • Are experienced working in Linux environment and writing shell scripts

We offer:

  • A technology and engineering-driven culture that treasures talents and individual's growth
  • International environment with flexible working conditions
  • Hard work with many many challenges that will boost your level and skills
  • Competitive compensation package

About the company 

Foresight AKA Foresight Autonomous Holdings Ltd. (NASDAQ and TASE: FRSX) is a growing startup company that develops solutions and safety features for the autonomous driving industry. 


Deep Learning Developer for Computer Vision Applications 

Job descriptions   

Expert in computer vision and deep learning. Working as a part of a cutting edge algorithms team. Will be responsible for researching state of the art models to solve problems in the autonomous car world. Accelerating and improving neural networks for real time applications. Working with large data and video streams. Leading the implementation of the feature by SW team. Occasionally writing patents and scientific articles and display at conferences.  


Technical knowledge:  

  • 5 years at least of experience of algorithms development  
  • 3 years at least of experience in deep learning development 
  • Excellent programming skills in Python, C/C++   
  • Experience working with dockers / conda environments  
  • Experience with Computer vision: stereo/ registration/ denoising/ augmentations etc.  
  • Experienced in using Deep learning frameworks: TensorFlow, Keras, PyTorch  
  • Good understanding of CNNs for vision tasks like:detection, segmentation, regression etc.  
  • Hands on experience with embedded systems – Advantage  
  • Experience in TensorRT / CUDA / network acceleration methods – Advantage  
  • ADAS (Advanced Driver Assistance) experience – Advantage.  
  • Working with video – Advantage.  



  • M.Sc. in Computer Science / Electronic Engineering / Math – Mandatory 
  • PhD – Advantage 



  • Willing to commute to Park Ha'Mada Rehovot (accessible by train) 

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