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

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.

RESPONSIBILITIES

• 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

THE CANDIDATE WOULD IDEALLY

• 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

TECHNICAL SKILLS

• Knowledge of:

Must:

• 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

EXPERIENCE IN THE FOLLOWING CONCEPTS IS A PLUS

• 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

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.  

Qualifications:  

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

 Other  

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

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 Deep learning algorithms engineer:

You will be leading research and development of deep learning algorithms for time series datasets solving challenging tasks such as human motion tracking and action recognition. Develop and deploy optimized architectures for production-level solutions on mobile platforms. Eventually, you will have a significant influence in the company’s core tech, and your actions will help shape the future of the venture.

We want to know if you:

• Love sport (a big plus!).
• Have strong and proven experience in research and developing deep learning solutions in the computer vision domain.
• Have solid programming skills with Python and Object Oriented practices. (OpenCV, C/C++ an advantage)
• Have extensive hands-on experience working with ML frameworks (pytorch/tensorflow/keras).
• Hold M.Sc/Ph.D. in CS/EE/Mathematics in the domain of computer vision or similar.
• Are familiar with ML developing environments and cloud service providers (AWS/Azure/google cloud) – an advantage.

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.

Company Overview

Edgify is a revolutionary VC-backed startup, based in the Bursa area in Ramat Gan, aiming to change the way Deep Learning models are trained. We have developed a framework that allows training models on edge devices, where the data is generated, in a collaborative fashion, creating one robust model that was trained on all the data distributed between the devices, without the data actually leaving the edge. Our technology allows accessing data previously unavailable for privacy reasons and reducing data transfer and computation costs by leveraging the edge devices computation power. Our clients come from a variety of industries: Retail, medicine, manufacturing, connected cars etc.

Job Description

Our algorithm team deals with a variety of challenges associated with training DL models on the edge. We believe in “diving deep” into our solutions and many of our discussions end up in scribbling equations on the board.

Some of the cool research topics we’re working on:  Federated Learning, Model Compression, Online Learning, NON-IID data distributions, Differential Privacy etc.

As a researcher on the algorithm team, you will be given complicated problems to research and will be expected to lead the research process from the phase of literature review right up until the integration of the solution into the system. Our algorithm framework sits at the core of the Edgify product, and as part of the job you’ll be expected to participate in the development and improvement of the framework.

Requirements

• MSc / PhD in Computer-Science, EE, Physics, Mathematics (or similar).
• 2+ years of experience in ML/DL/CV development. 
• Strong Python development skills.
• Familiarity with one of the major DL frameworks: PyTorch /TensorFlow / MXNet.
• Advantage: C++ development skills.

Trax is looking for a Junior Deep Learning Algorithm Developer to join our Computer Vision group at Trax. This person will train deep learning models, solve problems in the field of DL and develop algorithms. This person will be a member of an algorithm research group and report to the Deep Learning engines Team Leader. This job is a great opportunity for talented junior candidates who want to gain practical experience and elevate their knowledge in the field of Deep Learning.

• At least 3 years of experience in programming – Python an advantage
• Strong analytic and problem-solving skills
• Passion for learning, especially in the field of Deep Learning
• Excellent self-learning abilities
• Knowledge in Deep Learning – an advantage
• BSc in Computer Science/ Mathematics/ Electrical Engineering or similar field – must
• Msc in Computer Science/ Mathematics/ Electrical Engineering or similar field – an advantage