NVIDIA is now looking for a Developer Relations – Intelligent Video Analytics (IVA) !

What You'll Be Doing

• Develop Israel developer IVA ecosystem with cross functional team: Product, Engineering, Applied Research, Marketing, and Sales
• Lead and develop strategic relationship with key IVA startups, ISV’s, and leading industries’ developers
• Know all NVIDIA GPU / AI computing platforms from datacenter to edge and effectively articulate the value proposition to the Israel developer community
• Drive adoption of NVIDIA SDK’s into developer products
• Funnel relevant startups to participate in NVIDIA Inception program
• Provide feedback of features requests into actionable engineering and product definition
• Be alert to the competitive landscape and communicate internally
• Strategic partnership and community building by attending research conferences and hosting technical meetups
• Engage industry events to speak, gather requirements, build relationships, showcase NVIDIA technology

What We Need To See

• BS/MS/PhD in Computer Science or Engineering
• 5+ years experience in Higher Education & Research or video analytics or IoT or healthcare industry
• 5+ years’ business development/strategic alliance experience for software/hardware products
• Excellent communication and liaison skills are essential, since candidate must work across all major internal functional areas (engineering, sales, and marketing) and with external partners, customers, and content developers
• Must be comfortable at C-level, as well as individual contributor engineers/marketers
• Working knowledge of with machine learning, deep learning, artificial intelligence platforms
• Working knowledge of the deep learning ecosystem – which markets are emerging most quickly, key players, competitors, etc.

We are widely considered to be one of the technology world's most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous with a real passion for technology we want to hear from you.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Zebra medical vision is a leader in modern computer vision and deep learning practices.

The Algorithms team is in charge of creating cutting edge algorithmic products which detect and diagnose a wide variety of medical conditions from medical images.

These solutions help make medical diagnosis faster, more accurate and more accessible to millions of patients around the world.

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 Deep learning and computer vision algorithms, in a multidisciplinary and dynamic environment.

Responsibilities:

• Research, design and develop deep learning and computer vision algorithms to detect a wide variety of medical conditions from image and textual data.
• Work with a multi-disciplinary team of medical doctors, engineers, and designers 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 deep learning and computer vision, as well as publish your own work, and contribute to the community via conferences/meetups etc.
• Participate in long term research efforts, and build excellence in the field of deep learning for imaging data
• Contribute to the team’s methodologies, best practices and toolset, share your work and give/receive feedback from peers in the team

Requirements:

• MSC. in computer science, preferably in the field of machine learning/computer vision
• 3+ years of hands on development of complex machine learning models 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.)
• Strong communication and collaboration skills
• Team player, positive and driven, fast learner

fitV is looking for a talented leading computer vision algorithms engineer.

A unique opportunity to join a fast-growing startup, located in the heart of Tel Aviv, and be a part of a small group. Developing cutting edge computer vision technologies that bring real-time workout feedback capabilities, fitV is an innovative startup that revolutionize the health and fitness domain, by helping trainees to boost their workout anyplace and anytime.

Job description:

Research and develop state-of-the-art computer vision algorithms for pose estimation, 3D reconstructions and motion tracking. Develop and design optimized architecture for production-level solutions on embedded/mobile platforms.

Qualifications:

•Experience with hands-on research and development of computer vision algorithms

•Proficiency in programming language for deep learning development – python/C/C++

•Practical experience in deep learning frameworks (tensorflow/caffe/etc) and cloud services for ML development

•Advantage: experience with optics imaging sensors and depth sensors

•Advantage: experience in code optimization for GPU/CPU

•M.Sc/Ph.D. in CS/EE/Mathematics in the domain of computer vision or similar

We are seeking a sharp, hard-working and curious Deep Learning Researcher to join our fast-growing startup and help us tackle the many missions we have in front of us. 

You will be critical in helping lead Trigo through the next phase of growth where you will experience unique visibility and growth opportunities that come with joining this exciting startup. 

Our R&D operation is already growing significantly and fast.

Who are we?

We are Trigo Vision (www.trigovision.com)!

We are working hard towards enabling a cashier-less shopping experience. Imagine walking into a supermarket, picking up whatever you need and exiting peacefully without having to wait in a single line. 

Our technology streamlines retail operations, prevents shoplifting, automates inventory control, provides invaluable retail insights and presents opportunities for new levels of customer engagement within retail environments.

Making this all work requires solving many problems ranging over various algorithmic fields spanning computational geometry, machine learning, convex optimization and more. 

Thankfully we have already established a team of great people – but there are many more problems to solve.

Last year we closed a 7M$ seed round from Vertex and Hetz ventures. We have a working demo (and a real supermarket in our office) and some very interesting, international customers – along with our very own Shuferal who tagged along for the ride. Our offices (same ones with the working supermarket) are located in central Tel-Aviv. We sometimes have ice cream in the fridge.

As a DL Researcher, You Will

• Perform end-to-end research to production workflow; we design and build our models, train them and push them into production.
• Participate and lead cutting edge research to develop solutions for real-world problems that don’t admit an “off-the-shelf” solution.
• Work with an extremely strong Deep Learning team.

What Experience You Need

• Be a team player in the full sense of the word. We brain storm, solve problems together and enjoy what we do.
• 3+ years of tackling machine learning problems of some kind.
• Research-oriented education in machine learning/computer vision (e.g. MSc/ Ph.D.) – or equivalent industry/military experience.
• Familiarity with at least one leading deep learning platform (MXNet, PyTorch, TF/Keras).
• Strong programming skills with Python.

Nice to Have

• Specific experience with employing deep learning for computer vision tasks.
• Existing industry experience in product-oriented research.

About Emza

Emza Visual Sense develops sub-milliwatt, trainable, low-cost, autonomous, computer-vision IoT sensors for automatic scene interpretation of the visual world around us. The low cost, ultra low power consumption, and high intelligence make systems applicable and affordable for a wide range of markets and applications – from accurate counting and tracking of people in smart buildings to human detection for virtual personal assistants.  Emza’s visual sensors are smaller than a coin, consume less than 1 mW and reduce cost by an order of magnitude.  Our proprietary algorithms are embedded at the edge and are specially designed for extremely thin computing cores and a unique ultra low power CMOS image sensor. Emza explores the limits of what can be achieved with minimal resolution, frame rate, processing power, memory size, power consumption, and cost.

Computer Vision Algorithm Team Leader

Basic qualifications

• MSc or higher in computer science, mathematics, exact sciences, or engineering.
• 4+ years professional experience in development of computer vision algorithms.
• Proficiency and experience in C/C++.
• Proficiency and experience in MATLAB and/or Python
• Familiarity with OpenCV.

Non-formal qualifications

• Ability to lead a small group (1 – 3 people) of algorithm developers.
• Ability to implement academic papers in the fields of computer vision and machine learning.
• Algorithmic versatility, i.e., ability to develop and implement low-, mid-, and high-level computer vision algorithms.
• Ability to take a task and “deliver”.
• Creativity, independence, and initiative are a must.
• Enthusiasm for algorithmic problems.
• Friendly, supportive, and communicative team player.

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

Razor Labs is leading a number of national projects while also having an extensive activity in international projects. Razor Labs specializes in computer vision, deep learning and machine learning, developing Razor Labs technological infrastructures in real-time video analysis and prediction / recommendations as a result of learning historical information. Razor Labs goal is to bridge the gap between companies and large organizations in the AI world.

At Razor Labs you will have the opportunity to integrate into a company that is at the forefront of technology with a young, pleasant atmosphere and people who are like family!

Job qualifications

At least 3 years of hands-on experience in #Computer_vision / #Machine_Learning / #Deep_Learning

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

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

Proactive, can-do attitude

Previous experience in leading teams

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.

Qualifications

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
Advantage:
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.Requirements:

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.

Qualifications

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