Computer vision

At Interai, our mission is to disrupt how employees at large enterprises perform their daily operations. Whether it’s a sales rep, customer service rep or marketeer, the current experience of working with their designated enterprise apps and systems (CRM, ERP, Billing, Ticketing, etc.) is usually far from ideal and even frustrating at times.

Interai is addressing this pain by abstracting these systems for the end-user, creating a single, user-friendly interface for the user to interact with, while the connection to the underlying systems is done without integrations nor APIs, but rather using computer vision and AI. Interai is building a no code App Builder platform to empower our enterprise customers to build modernized applications for any business process themselves.

Interai is looking for a computer vision engineer that will help us achieve our ambitious goal!


  • Developing Machine Learning and Computer Vision algorithms
  • Researching algorithmic techniques that apply to our field
  • Experience end to end development, from requirements to deployment
  • Perform software optimizations to take our systems to the edge of performance


  • MSc. in Computer Science or related field
  • At least 3 years of industry hands-on computer vision experience (image processing, detection, etc.)
  • Experience with deep neural networks for edge devices – Advantage
  • Experience with cloud computing environments (e.g. Google Cloud, AWS, Azure) and relevant execution frameworks (Docker, Kubernetes, etc.)
  • Strong practical experience in Python
  • Team spirit: we are a small team connected with super glue, each person counts A LOT

Job Description: (Tel Aviv), an AMAZING startup in the field of Video AI with Clients like NBA, Warner Media, FOX, Euronews and more, is looking for a Computer Vision/Machine Learning lead. 

You will: research, lead, invent and implement Computer Vision / Data algorithms using deep learning. The role will also remotely manage ML researchers.


- M.Sc. in Computer Science/Electrical Engineering or equivalent
- Experience in Computer Vision 
- Experience in Machine Learning, Deep Learning. 
- Ability to independently invent, research and implement new ideas
- 4+ years of development experience
- 2+ years of experience in Python
- Experience with OpenCV

- Preferred: experience managing teams

We are seeking a motivated Computer Vision Engineer to work with state-of-the-art deep learning frameworks to develop and deploy object detection, classification, segmentation and pose estimation.

Join us to Build computer vision (CV) based products/solutions. Create and implement new or uses existing traditional and deep learning CV algorithms, to solve applied problems in various domains such as Automotive, Security Robotics, Industrial, etc.

•Master's degree/PHD in Computer Science or Electrical engineering, focusing on computer vision and deep learning
•At least 2 years in experience with deep/machine learning training frameworks and models
•Experience in Computer Vision
•Hands-on experience in Python
•Experience in TensorFlow, PyTorch, and OpenCV

BeyondMinds is looking for an enthusiastic researcher to join our fundamental research group, helping us create key research advancements in order to break major barriers in mass AI adoption, and support the development of our core product.



  • Ph.D. in Computer Science, Electrical Engineering or a related technical field, with research focused on Computer Vision.
  • Demonstrated expertise in developing novel Deep Learning algorithms.
  • Deep mathematical understanding of machine learning fundamentals.
  • Experience contributing to research communities, including publishing papers at top conferences (e.g. NIPS, ICML, NAACL, ACL, CVPR, ECCV, ICCV).
  • Fluency in Python.
  • Experience with PyTorch and/or TensorFlow.
  • Relevant work experience, including full-time industry experience.


What you’ll be doing:

  • Work with the sharpest minds in the field.
  • Use your talent to tackle the most challenging problems and create a huge impact.
  • Research and explore new academic horizons.
  • Publish papers.


About us

BeyondMinds is a global enterprise AI software provider, accelerating AI transformation by offering a new paradigm for deploying production-grade AI solutions systematically. We believe that impactful AI solutions should neither be built from the ground up, nor bought off-the-shelf, but rather hyper-customized to fit the business problems and constraints.


At BeyondMinds we have developed the world’s first modular AI technology stack to solve the challenges currently holding back enterprise AI adoption. With the BeyondMinds Modular Engine (BME™️) we enable enterprises to bring AI to production with robustness, accuracy, and speed that were previously unimaginable. Tel Aviv Machine Learning center is looking for a Senior Machine Learning Scientist i to enhance the content understanding capabilities at Booking, for both images and text.

As a Senior Machine Learning Scientist you are a subject-matter expert in the theory behind one or more of the following areas of machine intelligence: NLP/Computer Vision, and their implementation as end-to-end products that generate direct business impact. You define the strategy and vision for how to generate outsized impact through automated intelligence for a product by driving a research agenda and development plan from ideation to prototyping to full productionisation.

Tasks & Responsibilities

  • Develop the strategy and research plan for machine intelligence on a product family by designing innovative ML/AI models, algorithms, and approaches that deliver both short-term commercial impact and longer-term differentiated business value and customer experiences.
  • Document and share the findings, and generalise these technologies into reusable frameworks.
  • Translate broad business problems into ML/AI challenges and identify the best approach within the constraints of the production environment.
  • Independently define and build proof-of-concepts to test new ideas and demonstrate their potential value to relevant stakeholders.
  • Drive the end-to-end execution of the ML/AI development process on products, from understanding product requirements, data discovery, model development and evaluation, to implementation of a full production pipeline for both batch and stream-based deployment.
  • Develop production-grade machine learning code, from models to features and pipelines, allowing for scalability, realtime, monitoring and retraining.
  • Monitor product health, performance and business impact and act accordingly when requirements are not met.
  • Build readable and reusable code, choosing the right technologies, coding methodologies, and approach from carefully designed rapid prototyping to software deployment at scale.
  • Maintain a highly cross-disciplinary perspective, solving issues by applying approaches and methods from across a variety of ML/AI disciplines and related fields. Coach others through evidence and clear communication, explaining advanced technical concepts in simpler terms.
  • Identify underlying issues and opportunities across domains and situations through application of structured thinking and logic, and drive concrete improvements. Guide and support colleagues dealing with complex scenarios.
  • Continuously evolve your craft by keeping up to date with the latest developments in ML/AI and related technologies, introducing them to the machine learning community and promoting their application in areas where they can generate impact.
  • Actively contribute to Machine Learning at through training, exploration of new technologies, interviewing, onboarding and mentoring colleagues.
  • Push for improvements, scaling and extending machine learning tooling and infrastructure, collaborating with central teams.


  • Strong subject matter expertise in one or more of the following areas of ML/AI (Natural Language Processing/Understanding, Computer Vision).
  • Ability to design an applied research plan for a product family from scratch as evidenced by peer-review publication or similar track record.
  • Strong relevant work or academic experience (MSc + 5 years of working experience, or PhD + 2 years), involved in the development and application of Machine Learning.
  • Masters degree, PhD or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Artificial Intelligence, Physics, etc).
  • Experience on multiple machine learning facets: working with large data sets, model development, statistics, experimentation, data visualization, optimization, software development.
  • Experience collaborating cross functionally in the development of machine learning products (e.g. Developers, UX specialists, Product Managers, etc).
  • Strong working knowledge of Python, Hadoop, SQL, Spark or similar big data technologies.
  • Excellent English communication skills, both written and verbal.

About Cyabra:
Cyabra’s technology filters through social conversations to empower brands and uncover disinformation. Our powerful lens taps into hives of activity that are connected by common interests and passions to provide a deeper understanding of what drives consumers to help brands make smarter decisions.  


  • As a Data Scientist, you should love analyzing, mining and doing crazy things with data, and be great at it! Our team is the place where all your analytic skills will come into action.
  • You will develop new machine & deep learning and statistical algorithms in a Big Data ecosystem. You will work together with other researchers and Data engineers, and collaborate with the CPO to achieve superior results. 
  • On a day to day, some of your responsibilities will include:
    • Building Machine Learning pipelines into production
    • Owning and improving the algorithm and data accuracy
    • Developing novel algorithms and investigating new technologies
    • Explore new data sources and methods supporting the accuracy of the algorithms


  • Over 3 years of experience developing machine learning/image processing/NLP and similar algorithms – Must
  • PHD/ M.Sc. in Computer Science/Mathematics/Physics or any other relevant field – Incredible Advantage
  • Experience with probability theory and statistics – Must
  • Experience with statistical and machine learning tools – Python, etc. – Must
  • Experience with MongoDB – Incredible Advantage
  • Good coding skills – Cool

Personal Note:

To fit this role, you need a solid background in data science, and to be passionate about what you do (if you apply with the word “pineapple”, we will grant you 2 points in a game of Catan).

You should have a can-do attitude and be willing to take on ownership of the code you write, and be responsible for critical tasks and fixes when they happen, in real-time.

INTSITE is looking for an Algorithm developer to join our R&D Team in Yokne’am.
You will be developing algorithms to solve real-world problems, handling the development life-cycle end to end: from research through implementation. The candidate must be creative, independent, and
capable of designing solutions to meet defined goals while taking into account time, computing, and
physical constraints.

INTSITE is aiming to revolutionize the construction industry by introducing autonomous and AI assisted equipment, improving site safety and productivity. As a team member, you’ll be involved in the design and implementation of vision algorithms enhancing the capabilities and safety of construction vehicles and machinery.

• Min. 3 years experience as an algorithm developer
• Hands-on experience with one or more of: Object detection, segmentation, pose estimation,
localization, action recognition, or related concepts in the field of computer vision.
• Ability to perform independent research in order to utilize state of the art solutions to a given problem.
• Experience with deep learning frameworks such as PyTorch, Tensorflow, etc.
• Software development experience in high-level languages such as Python, C++, etc.
• Hands-on experience with common vision libraries such as OpenCV or similar.
• Hand-on experience integrating algorithms and software within the scope of larger software
systems, taking system architecture constraints into account.
• Background in 3D vision and know-how of topics such as depth estimation, stereo vision, camera/multi-cameras calibration, SfM, etc.– a strong advantage
• Experience with cloud environments (AWS, Azure, GCP, etc.) – an advantage
• Experience with Nvidia Jetson and/or other edge platforms – an advantage
• Experience with multidisciplinary systems – an advantage
• Experience working with different sensors such as cameras, GPS, IMU, etc. – an advantage.
• Work experience in a Linux environment – an advantage
• Working experience in a startup – an advantage

Who are we?

Our mission at Webiks is to create powerful, data-driven applications and models that help our clients innovate and grow. We build custom software and custom models for clients from multiple industries, including Defense, Security, Health, and Automotive. We think long-term. Forming long-lasting strong relationships and partnerships with our clients is at the core of our strategy. 

Who you are?

As a Computer Vision Engineer you will have an important role in our Data Science and AI team. You are a Deep Learning enthusiast, with a significant, hands-on, experience with deep convolutional neural networks for detection, classification and segmentation of images and objects. You understand that, sometimes, good old ML modeling and classical image and signal processing techniques are essential, and you enjoy combining them with end-to-end DL approaches. 

What’s this job about?

As a Computer Vision Engineer, you will be responsible for:

  • Design, develop and train state-of-the-art computer vision algorithms. All the way from rapid prototyping to production-ready models (object detection, fine-grained object classification, change detection and more).
  • Collaborate with engineers in our data-science, full-stack software development and product-management teams – to implement value-adding solutions.
  • Evaluate your results and improve your solutions based on business metrics and scientific train-val-test methodologies. 
  • Explore innovative techniques, such as active-learning, self-supervised learning and generative models, and evaluate their usability to our use-cases. 
  • Drive the end-to-end execution of Computer Vision projects, including understanding the requirements and goals, set the criteria, data exploration, model selection, training, and evaluation, all the way to full-scale implementation and integration. 
  • Provide continuous feedback and support to fellow Data Scientists in the team, all of them are brilliant minds and enthusiastic people just as you are, some of them are less experienced than you.
  • Maintain a highly cross-disciplinary perspective, solving issues by applying approaches and methods from across a variety of Data Science disciplines and related fields. Your day-to-day will be focused on Computer Vision, but you will also be involved in exploratory projects in the fields of structured data and time-series ML, NLP and competitive Data Science.  
  • Continuously evolve yourself by keeping up to date with the latest Data Science, Machine Learning & Deep Learning technologies.
  • You’ll be reporting to our CTO. 



  • You flourish when you are surrounded by talented, sharp-minded people.
  • You love doing things yourself. You like mentoring others.
  • You are a great communicator. You write, you talk, you appear, you communicate. 
  • You are open. You understand that the only reason you have reached so far is that you were able to stand on the shoulders of giants. You truly believe the principles of the open movement – Open Source, Open Data & Open Innovation. 
  • You are a competitor. “Bestfitting” Kaggle winner is your role model. 


  • Deep technical expertise in Computer Vision and Deep Learning. 
  • BS/MS degree in Computer Science, Engineering, or a related field. 
  • At least 3 years of successful, hands-on, ML/DL/DS positions with a significant Computer Vision experience.
  • You can code. Your code quality meets the typical Software Engineering standard (and not only the typical Data Science standard). 
  • Proficient in Python.
  • Experience with machine learning frameworks and libraries (Tensorflow, Pytorch, Keras).
  • Experience with overhead imagery (aerial / satellite imagery) and with GIS – an advantage.
  • Experience with Active Learning techniques – an advantage.
  • Experience with cloud computing environments (e.g. AWS, Azure) and relevant execution frameworks (Docker, Kubernetes, etc.) – an advantage.
  • You are comfortable at reading academic papers and reproducing their results.

Our Process

If you want to apply, please send your CV or Linkedin URL to

Please write “Computer Vision Engineer application” in the email subject line.

Please attach to your email links to at least two of the followings:

  1. A paper you have published (arXiv included). 
  2. A technical blogpost you have written (English or Hebrew).
  3. A lecture/presentation you gave in a meetup/course/conference.
  4. A Kaggle competition you have participated in and scored well.
  5. An open-source project you have contributed to.
  6. A Jupyter / Colab notebook you have published.

Smadar, our HR manager will then contact you and set up an introductory call. If relevant, we will then set up interviews with Shachar, our CTO, and with Omer, our CEO, and together we will take it from there.

Senior Data Scientist at (relocation)

Agoda Services Co., Ltd

Working Location: Bangkok, Thailand

Full visa sponsorship and relocation assistance available for eligible candidates.

About Agoda

We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.

As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.

 In This Role, You’ll Get to

  • Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
  • Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
  • Work with developers and a variety of business owners to deliver daily results with the best quality.
  • Research discover and harness new ideas that can make a difference

What You’ll Need to Succeed

  • 3+ years hands-on data science experience.
  • Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
  • Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
  • Can lead, work independently as well as play a key role in a team.
  • Good communication and interpersonal skills for working in a multicultural work environment.

It’s Great if You Have

  • PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
  • Experience in NLP, image processing and/or recommendation systems
  • Hands on experience in data engineering, working with big data framework like Spark/Hadoop
  • Experience in data science for e-commerce and/or OTA


Playform is a revolutionary Sports Tech startup, disrupting the way youth soccer players are being measured and trained to improve their playing skills and maximize their potential. We develop a unique mobile-based technology that measures the players while they carry out a series of tests and training sessions, suggests real-time feedback, and produces stats and performance insights, based on deep learning and computer vision technologies.

Job Brief

We are looking for a highly motivated computer vision algorithms engineer who is not afraid of big challenges, who is self-driven and motivated to join us and be part of an exciting process of establishing Playform as the standard technology being used to train youth athletes. We are in the process of building our R&D core team and as such looking for an experienced yet hungry computer vision algorithms engineer. Both hands-on and macro-level perspectives are required, combined with top-notch communication skills and a passion to deliver an amazing product experience.

Like any professional sports team, seeking to win, we are looking for super talented players to join us and get on the field. If you like Sports, Deep-Tech, and delivering products to mass production, you should explore this opportunity.

The algorithms engineer will report to our CTO. The position is located in Rehovot Science Park.

Job Responsibilities

  • Design and develop state-of-the-art computer vision algorithms
  • Understand the task and resources and research for an optimal solution
  • Collaborate with cross-functional team members to define, design, explain and implement new features and abilities
  • Evaluate your results and improve your solution based on the team and product requirements
  • Drive continuous improvement of the development methods and infrastructure
  • Continuously discover, evaluate, and implement new technologies


Job Requirements

  • BS/MS degree in Computer Science, Engineering, or a related subject
  • At least 3 years of industry hands-on computer vision experience (image/video processing, detection, tracking, SLAM, etc.)
  • At least 2 years of industry hands-on experience in R&D of deep neural networks solutions for images/videos.
  • Experience with deep neural networks for edge devices – Advantage
  • Experience with cloud computing environments (e.g. Google Cloud, AWS, Azure) and relevant execution frameworks (Docker, Kubernetes, etc.)
  • Strong practical experience in Python
  • Ability to work in a dynamic, fast-paced environment
  • Experience working in an Agile/Scrum development process
  • Independent, hardworking, fast learner, focused and organized
  • Excellent communication skills in Hebrew and English – both written and verbal
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