OriginAI, is a new innovative AI-research-center established to address challenges at the forefront of AI research at national scale.
Our research is focused mainly (but not only) in the areas of Audio, NLP and Vision.
Collaborating with leading Universities in Israel we develop SOTA models in the various fields.

Job Description:

We are looking for experience applied researcher to join our Audio & NLP group. The role involves the entire applied research flow, starting from literature surveys, innovation, AI development and solution deliveries for various real-life NLP challenges.

We provide a unique opportunity to work independently within a growing top talented team, stay up to date with the latest academy papers/conferences, and work on solutions for extreme challenges.
Our new unique AI research center will allow you to expand your comfortable zone and work on multi- modalities problems together with Audio and Vision groups.


  • Ph.D. / M.Sc. in Electrical Engineering / Computer Engineering / Computer Science with at least 3 years of applied research experience.
  • Experience in NLP domain (expertise in at least one of the following, Summarization/topic detection/ sentiment detection/translation/ASR etc.) – MUST
  • Strong programming skills- MUST
  • Cum laude from top universities – advantage.

Computer Vision Research Team Leader

OriginAI, is a large AI research center that was established to address challenges at the forefront of AI research at national scale. The research is focused in the areas of Vision, Speech and NLP with the aim of producing world-class groundbreaking capabilities in these areas.
We work in hybrid mode and our new offices located near Tel-Aviv’s Savidor train station.

Job Description:

We are looking for an experienced Computer Vision applied researcher with proven leading skills to join our Vision Research group. The role involves leading a small team of researchers through the entire applied research flow, starting from literature surveys, innovation, and ending with delivery to development for various real-life challenges in the fields of Computer Vision and Machine Learning.

We provide a unique opportunity to work independently and within a growing top talented team, stay up to date with the latest academy papers/conferences, work on state-of-the-art solutions for a wide range of computer vision topics involving high challenges, and publish your work at top AI venues. Our unique AI center will allow you to join forces with our other domain experts in Audio and NLP to face the most challenging multimodal tasks, while enjoying one of the most powerful private compute resources in Israel.


  • Ph.D in Electrical Engineering / Computer Engineering / Computer Science.
  • Deep understanding of ML fundamentals and SOTA Deep Learning approaches.
  • Publications at top Computer Vision conferences.
  • Experience in mentoring / tech leading junior researchers.

About Us

Our team develops compression techniques that lead the evolution of compute by offering efficient AI applications that broadly spans from the data center to the edge. We optimize deep learning topologies (neural networks) to the latest Intel hardware and work with architecture teams to design software and hardware accelerators for Intel future hardware. Our focus areas are Deep-Learning software and hardware technologies for state-of-the-art inference and training techniques.

About You

We are looking for a talented AI research student to help our research efforts in the field of neural network compression (e.g. pruning, quantization, neural architecture search) for existing and next generation hardware products in areas such as natural language, speech, and vision.

The job responsibilities may include but are not limited to:

  • Working with leading architects on analysis of large-scale deep learning topologies and map the bottlenecks
  • Implement innovative optimization methods to optimize neural networks for specific hardware product
  • Publish papers in top tier deep learning conferences.
  • Contribute to Intel’s open source deep learning projects


  • BSc. or MSc. Student in Computer Science, Computer Engineering, or related field.
  • Python proficiency, experience in one of the ML frameworks such as PyTorch, TensorFlow
  • Track record of creativity and innovation
  • Understanding of system architecture and hardware design.
  • Experience working in Linux environments
  • Good written and verbal communication skills for expressing technical ideas and initiatives.

Nice To Have

  • Developing/maintaining AI research open source software projects.

Deep learning / AI Researcher

Blink technologies

Deep learning / AI Researcher

● Research and Development of Deep-learning and computer vision algorithms driving cutting edge technology.
● Develop the blink AI algorithms.
● Be part of a multidisciplinary team and help define system solutions.

The successful candidate should demonstrate the following skills
● PhD Degree, M.Sc with thesis in the field of CV & DL is a MUST.
● Strong theoretical background in AI & Deep Learning
● 5+ years of experience in overall software engineering.
● Experience as a Machine-Learning / Algorithms Engineer / Computer Vision with state-ofthe-art algorithms (i.e. object detection, multi-object tracking, and instance segmentation)
● Experience with deep learning algorithms for image or video processing.
● Experience with deep learning for 3D algorithms
● Strong Python and C++ programming skills.
● Experience in developing deep learning models with TensorFlow, Keras, or other common frameworks.
● Ability to work as a strong contributing member of a talented R&D team.
● Fluent English, and excellent communication skills (written and verbal).

● Driving patents and IP development is an advantage

Deep Learning Applied Researcher

at Brodmann17, Sarona, Tel Aviv

Brodmann17 is developing game-changing Deep Learning and Computer Vision  algorithms for ADAS and Automated Driving. We’re pioneering state of the art software products that achieve the best performance and accuracy, making it an ideal solution for the most demanding challenges of the fast growing automotive market. Come and join us in one of the most interesting AI companies, contributing to a life-saving product!


About the Job:

We are looking for a Deep Learning applied researcher to join our algorithms team. In this position, you will develop best in class algorithms for ADAS and Autonomous Driving products. You’ll be a key member of designing, implementing and extending our algorithm solution that enables fast, continuous and flexible Deep Learning algorithms development. You will work closely with other excellent researchers to understand the needs and requirements of the research as well as keep up to date with latest developments in the field.

Main responsibilities:

  • Extend, optimize and invent new algorithms as part of Brodmann17’s core technology
  • Develop novel Computer Vision and Deep Learning algorithms in fields such as object detection, multi-class classification models, semantic segmentation, object recognition, object tracking, depth sensing, and more, for ADAS solutions
  • Investigate, identify, and implement research ideas published in leading scientific publications
  • Provide input for future planning based on area of expertise and target devices.


  • MSc (with thesis in Machine Learning / Deep Learning) or above in Computer Science or a related field
  • 2+ years of excellence in Python coding capabilities
  • Ability to understand and implement complex algorithms
  • Strong execution and ownership orientation, through design, development, and deployment 
  • A team player with good communication skills, both written and verbal
  • Ability to work as a strong contributing member of a small R&D team.


  • Knowledge of Computer Vision, Object Detection
  • Familiarity with toolkits for Deep Learning such as TensorFlow/PyTorch.

About us

Urecsys develops a revolutionary product that reduces exposure to indoor air pollution. The product is algorithmic and patented. The company works in cooperation with the Ministry of Environmental Protection and receives a grant from the lead scientist for the 3rd year now.

Associate AI Researcher

Zeekit / Walmart

Associate AI Researcher – Tel-Aviv

Zeekit is a Walmart Company and a powerhouse of fashion eCommerce immersive experiences. We develop deep technologies such as image processing, computer vision, deep learning, and artificial intelligence and more.

We are looking for a Associate AI Researcher to join our R&D team and help us bring the company’s vision of virtual try-on to reality. The Ideal candidate will have extensive experience in the field of deep learning, machine learning and computer vision.


  • Lead research of innovative solutions to improve the core models in the heart of Zeekit’s Computer Vision engine
  • Develop state of the art models to enable various aspects of virtual try-on
  • Mentor other team members and promote teamwork
  • Make the best out of the team processes and improve upon them


  • 2+ years of experience in deep learning and computer vision research
  • Msc in STEM from a leading university
  • Proven track record of research deliverables

Scope: Full time

Location : Tel Aviv 


About us

We are an elite multidisciplinary research and engineering team, with backgrounds in Physics, Optics, Algorithms, as well as Electrical, Computer and Mechanical Engineering.

We work mainly IMOD’s CTO office, which means the most interesting problems and cutting-edge technologies you can imagine!

We do everything from basic R&D to deployment of innovative solutions on novel problems and sensors.

What to expect

Lots of fun and interesting problems to tackle!

The tools and resources you need with zero bureaucracy and 80/20 mindset.

A lot to learn, people to learn from, and an opportunity to grow and evolve professionally.

Fast-paced startup like environment with a strong get-it-done attitude.

What we are looking for in a candidate

  • Extremely talented, top-notch researcher.
  • Experience in: Deep Learning, Image Processing, Signal Processing, Computer Vision.
  • Background and basic understanding of physics, optics.
  • Experience in Python.
  • Experience in CUDA and/or Nvidia dev boards – a big plus.
  • Experience in Linux – a plus.
  • A strong team player!

What we are looking for in a candidate

  • Experience in: Deep Learning, Image Processing, Signal Processing, Computer Vision
  • Background and basic understanding of physics, optics
  • Experience in Python
  • Experience in CUDA and/or Nvidia dev boards – a big plus
  • Experience in Linux – a plus


Work model

  • Flexible Hours and work model.
  • Our offices are in Tel-Aviv near a train station.
  • We are open to hiring part-time / full time / independent consultants / Masters students – if you’re good, we’ll find a way to work with you!

Special candidate for a special place:

We are extremely multi-disciplinary and each worker needs to be connected with the vision of all the projects.

The projects are very innovative and a lot of times you need to decide for yourself how to advance and explore different paths.

You also need to be very open minded, be able to read papers and other works to be able to advance.

Our projects also have a very deep leg in physics and engineering, and therefore you need to have the right inclination and intuition to be able to move forward.

Computer Vision Research Engineer

Asensus Surgical Israel

Asensus Surgical is currently seeking a Computer Vision Researcher to join our top-notch Research & Development team in Israel.
This is an exciting time to join Asensus and to be part of a leading edge team that is pioneering a new era of Performance-Guided Surgery.
You will help lead the development of a next-generation vision-assisted surgical robotics platform.  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 Machine Learning and Computer Vision algorithms, in a multidisciplinary and dynamic environment.

We are looking for an individual who is a team player and a strong communicator. Someone who has great problem-solving skills, and who has a drive for creativity and innovation, as well as determination and persistence. Someone who has a deep understanding of algorithms and image processing and will take ownership of various Vision/deep learning/AI algorithms utilizing medical imaging data & sensory data through exploration, development, optimization, validation & integration.

Who We Are:
As a medical device company, Asensus is digitizing surgery to pioneer a new era of Performance-Guided Surgery. Utilizing robotic technology to improve minimally invasive surgery in ways that matter to patients, physicians, surgical staff, and hospitals and enabling consistently superior outcomes and a new standard of surgery.

Our employees are especially passionate about the work they do and thrive in a collaborative environment that fosters creative solutions to complex problems. The work is challenging, but everyone comes to Asensus Surgical looking for a fulfilling career, and that's exactly what they find

What You Bring:
* Minimum of 3 years of hands-on experience with Computer Vision algorithms
* MSc in Computer Science or related fields (EE, Math, Physics, etc.); BSc with
outstanding demonstration of capabilities will be considered as well.
* Strong background in machine learning and deep learning.
* Implementation skills in C++ and Python.
* Ability to initiate and lead machine learning projects end-to-end.
* Experience with TensorFlow/PyTorch.
* Familiarity with IPP, OpenCV and similar libraries
* Good verbal and writing capabilities in both Hebrew and English
* Deep domain experience and hands-on knowledge or academic research background in
at least one of the following is an advantage:
– Motion estimation (i.e Optical flow, Tracking)
– Segmentation
– Super resolution
– 3D reconstruction

* Ability to work in team environment and collaborate with a remote based team
* Experience in a global medical device company – Advantage.
*  Developing software or implementing algorithms on GPU – Advantage.

What You'll Do:
* Work with a multi-disciplinary team of 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
* Research, design, develop and implement Computer Vision, Machine Learning and
Deep Learning based vision algorithms.
* Contribute to the team’s methodologies, best practices and toolset, as well as sharing
and receiving constructive feedback
* Understand algorithmic requirements and convert these into usable solutions
* Utilize existing research, literature and study of existing state of the art tools to develop
best in class solutions
* Develop mathematical and numerical tools to support development
* Manage large amounts of data and process into usable information
* Evaluate the performance on benchmarks and improve as necessary

Deepchecks is a VC-backed startup tackling the huge problem of controlling Machine Learning systems.

AI systems are being adopted by more and more organizations and are taking an increasingly important role in their business. Although many resources are allocated to creating and optimizing the machine learning models, they still lack “common sense” and make various mistakes that may go undetected for long periods of time. We focus on detecting, preventing, and fixing these “AI glitches”, using mathematical concepts and algorithmic research. Our product validates models during development and monitors these systems in production, helping avoid costly production-time mistakes.

Computer Vision Researcher (Tel Aviv)

Deepchecks is expanding its product and open-source package into validation and monitoring of Computer Vision (CV) models and data. For that, we’re looking for a top-notch CV researcher to join this effort – someone with experience researching and developing models for various computer vision tasks, along with great coding skills. In this role, you’ll be creating unique methods for detecting flaws in CV models and tackling issues such as prediction confidence, overfitting, model monitoring, concept drift, model explanations, and more. You’ll be taking a prominent role in developing Deepchecks’ offering for CV models, alongside participating in the development of robust tools for detecting generic issues with ML model and pipelines in a wide variety of additional models and data domains. The role also offers the unique opportunity to shape our product from a user’s point of view.

We’ll be going through a lot together, so we’ll want your character and mindset to be a good fit for a fast-moving startup.

Required experience:

  • M.Sc./Ph.D. in a quantitative field or at least one Kaggle gold medal
  • At least 2 years of industry experience in ML Research roles, at least 1 year out of them developing computer vision models.
  • Proven track record of excellence in machine learning
  • Python proficiency and solid coding skills
  • Product-driven mindset, and ability to contribute to the prioritization process

Advantage if experienced with:

  • Owning and improving deployed ML systems
  • MLOps or AutoML tools (either on the vendor or the customer side)
  • XAI, model robustness, or model monitoring
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