Computer vision

Razor Labs is looking for a talented hands-on team leader with a strong background in Algorithmics.

Job qualifications

At least 3years of hands-on experience in Computer vision / Machine Learning / Deep Learning

Strong mathematical skills, deep understanding of linear algebra, deep learning, signal processing or image processing

Previous experience in leading teams

Proactive, can-do attitude

M.Sc. /Ph.D. in Computer Science / Electrical Engineering / Physics / Mathematic.

Software Engineer Student for Mobileye Intel's Autonomous Driving group

Job Description
Looking for a Deep Learning software student for Mobileye Autonomous Driving SDK group in Haifa.
This is an exciting opportunity to work with highly talented engineers and be a part of product innovation on cutting edge technologies in Deep Learning optimization domain.
If you are excellent, bright, hands on person with passion to make a difference come to be part of the revolution!
What will you do?
As a Deep Learning software student, you will develop various tools that help to optimize Deep Learning networks. You will optimize the solutions by applying cutting edge network optimization techniques and will have the chance to influence future generations of Mobileye hardware and software stack.


Minimum Qualifications
Studies towards B.Sc. or M.Sc. in Computer ScienceEngineering
� With at least 2 semesters left until graduation
� Ability to work at least 20 hours a week in regular business hours
Background in Statistics/Machine Learning
Background in Neural Networks/Deep Learning
Experience in Python programming language is a plus

Inside this Business Group

Automated Driving Group : Zero accidents. Mobility for all. Intel is collaborating with the world's leaders in automotive design and technology to turn visionary concepts for automated driving into reality. The Automated Driving Group (ADG) is architecting transportation for a better life and a safer world. We accelerate innovation and adoption of smart, connected, transformative, market leading automated driving solutions by delivering high performance SOC’s, modules, software and reference designs.

The Image Processing and Computer Vision Group of Elbit Systems Aerospace Division requires a computer vision scientist.
The position includes initiating, implementing and supporting the implementation of groundbreaking algorithms for a wide range of camera-based applications in airborne systems. With an emphasis on algorithms in computational learning, image analysis, image-based navigation, and insight extraction.

M.Sc/PhD in computer science / electrical engineering and / or at least 3 years of experience in developing algorithms in image processing or computer vision

Ability to work as part of a team

Ability to study and independently lead projects

Development capabilities in matlab / c ++ / python

Experience in deep learning – advantage

Pioneering and leading research, design and development of uncharted domain of AI / computer vision and robotic vision for medical laser applications.


MSc in Electrical Engineering or Computer Science or similar, preferably in the field of machine learning/computer vision

3+ years of hands on development of complex computer vision, robotics vision machine learning and/or algorithms, using modern frameworks and tools (ideally python based)

1+ year of hands on experience with Deep Learning using common open source frameworks and tools (Keras, TensorFlow, Theano, Caffe etc.)

1+ years hands on experience in software development and/or as an algorithm engineer with strong coding skills

Team leader capabilities in machine vision, looking to grow.

Entrepreneurship capabilities. Ability to whiteboard some theory while at the same time rolling up your sleeves and get coding

Ability to carry out independent research as well as the ability to work well in a team, and lead the research of machine vision concepts

Data oriented i.e. be able to set up experiments to measure things that will in turn drive decisions

Excellent interpersonal skills, team player

An advantage:

Proven experience in medical imaging and medical product development – strong advantage

Experience in high performance computing

Proficient in C++, C#, Python, Matlab, or equivalent languages

Experience in collaboration with Academy and companies

PhD in Electrical Engineering or Computer Science or similar from a known university

AI Lead Enginner

Seamless Vision

As our AI lead engineer you will research, design, implement, test, optimize and deploy state-of-the-art AI technologies from the field of computer perception, machine learning, computer-vision, path planning, and other relevant tasks to solve real-world complexed problems.



– Take ownership of the AI domain of a multi-sensor mobile autonomous platform.

– Drive the following responsibilities:

   *Define and optimize the AI architecture for solving real-world (perception, navigation, path planning) problems of the autonomous platform

  *Implement and test state of the art algorithms from the fields of computer vision, sensor fusion and path planning

  *Design, develop and optimize low-level and high-level real-time autonomous platform functions for CPU / GPU and discrete HW accelerators (such as Intel Movidius)

   *Autonomous workloads analysis, bottle necks recognition and performance optimization

– Close collaboration with other teams, (data-science, platform, simulation)

– Full development process from requirements to production

As a machine learning scientist you will research, design, implement, optimize and deploy models and state-of-the-art algorithms in autonomous platforms.

A strong candidate will ideally possess at least one strong expertise in the following areas and at least a basic familiarity in others.



– Train machine learning and deep learning models on a computing cluster to perform visual recognition tasks, such as segmentation and detection

– Develop state-of-the-art algorithms in one or all of the following areas: deep learning (convolutional neural networks), object detection/classification, tracking, multi-task learning large-scale distributed training, multi-sensor fusion, etc.

– Optimize deep neural networks and the associated pre-processing/postprocessing code to run efficiently on an embedded device

EyeClick is the maker of BEAM – an award-winning product that turns any physical space into an immersive, active and highly addictive gaming experience for kids aged 2 and up. With thousands of global installations, millions of kids playing and clients like McDonald's, Burger King, KFC, Wimpy, IKEA, Virgin and others, BEAM is an effective tool for businesses attracting kids and families worldwide, and great gaming experience for everyone.

We are looking for a Computer Vision Developer who will handle the computer vision algorithm of the product. In this position, the developer will create algorithms in the most efficient and optimal way for our devices. The tasks are varied, from identifying motion to identifying objects, in all kinds of challenging angles and speed.


Working with depth cameras

2-3 years of experience

Academic degree in science or engineering

Knowledge in Computer vision algorithms such as neural networks and background subtraction

Knowledge in Python


Military background in the field of computer vision

Arm + Linux

Working with OpenNi/OpenCV/Numpy

Critical needs:




BeyondMinds is looking for an enthusiastic Computer Vision researcher to join our team and help us solving core problems.


  • MSc / PhD in Computer Science or Electrical Engineering (with research focused in CV).
  • Experience in Computer Vision & Deep Learning.
  • Demonstrated expertise in developing novel Machine Learning algorithms.
  • Experience contributing to research communities, including publishing papers at top conferences.
  • Fluency in Python.
  • Experience with PyTorch and/or TensorFlow.

BeyondMinds is looking for an enthusiastic Computer Vision Researcher to join our team and help us solving core problems.


  • PhD degree in Computer Science, Electrical Engineering.
  • Experience in Computer Vision and Deep Learning.
  • Experience contributing to research communities, including publishing papers at top CV conferences.
  • Programming experience in Python.
  • Experience with Pytorch and/or Tensorflow.
  • Relevant work experience as a researcher.


  • Experience as a Team Leader.

We are

Theator is an early stage deep-tech company leveraging computer vision and AI to tackle variability and disparity in surgical care.

We’re looking for

A top-notch computer vision researcher to join our founding team to play a key role in designing and implementing our ambitious project.

If you’re a super quick study who loves to solve complex problems no one’s ever tackled before, highly motivated, passionate, with a sense of humor, fun to work with and enjoys the occasional poyke – you’re on our wish list!

You’ll be a part of our founding team, one of the first to help create an environment of like-minded professionals tackling a significant unmet need in healthcare. You can expect a high sense of ownership, a lot of responsibility and endless room for growth.

You’ll be responsible for

Implementing algorithmic modules that will be at the heart of our products

Constantly dealing with huge unsolved CV/ML challenges, continuously pushing the envelope

Keeping up-to-date on the most contemporary academic research, making sure that we’re defining the cutting edge in CV/ML in the field of surgery

Collaboration with world-renowned researchers that will provide guidance and support

The entire tech lifecycle: from proof of concept to deployment in the hands of users

Aiding in task prioritization, working with leading medical research teams to quickly execute objectives

Working with fellow CV researchers, software engineers, and our clinical team to design and implement a scalable algorithmic pipeline

Your background should include

At least 5 years in software development [or Industry research position]

At least 3 years in computer vision research or engineering

High level competency in python development

Experience with software design concepts

High familiarity with theoretical concepts of computer vision and deep learning.

Experience with at least one deep learning framework (e.g., tf, caffe, pytorch)

You’ll get some bonus points if you have experience with

Team management

Medical data, imaging, videos, etc.

FDA regulated computer vision solutions

Computer vision for video systems

Video action detection/segmentation

Production-ready computer vision solutions


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