Kryon is rapidly growing and we are looking for a highly experienced algorithm and computer vision HO team leader who lives and breathes technology, loves data and has strong business skills together with deep understanding of software infrastructure design.
Lead a team of professional algorithm developers, that research and develop algorithms in the fields of computer vision, neural networks, OCR, machine learning and graph algorithms.
Work in an Agile (Scrum) environment and help us to continuously deliver our product to customers.
· M.A or above in a relevant field.
· At least 2 years of management experience.
· 8+ years of algorithm development experience.
· Experience in computer vision/image processing development.
· Deep knowledge with machine learning and neural networks.
· Experience in research and development using MATLAB
· Good communication skills
· Experience in Agile development.
· Experience developing in .NET/Java
· Experience in software design patterns and practices.
Hi Every One! 🙂
We are looking for Data Scientist.
This Person will be responsible for designing and implementing the new data science and machine learning infrastructure
Building a new data science team for this project
Laying out the tools and processes for applying machine learning in our new product environment
Migrating the current algorithms into the new environment
Building a research and testing environment that will lead to easy deployment of new models
Research and deploy new models to support new features
Responsibility for the on-going performance of the algorithms incorporated in the solution
Work closely with the development and product teams working on this project
B.A/B.Sc in Computer Science, Mathematics, Statistics or similar in a known university.
M.Sc or PHD – an advantage.
Team/Group management skills – an advantage.
Data science: at least 5 years experience in machine learning algorithms in the areas of classification and prediction.
Knowledge in Recommendation systems – an advantage.
Familiarity with the retail and marketing landscape – an advantage.
Modeling languages: Python, Scala
Experience applying data science in a distributed environment (e.g. PySpark) – a big advantage.
Creative, Initiative, and a great person to work with!
Inspekto is looking for a Inspekto is looking for an enthusiastic and creative computer vision engineer.
Inspekto is looking for a Inspekto is looking for an enthusiastic and creative algorithm engineer.
At least MSc degree in EE/computer science/mathematics/physics or equivalent field from a leading university, or otherwise very impressive achievements creating smart systems based on artificial- intelligence
What should you bring to the table?
At Twiggle, we believe computers should understand people just like people do. To enable that, we are building powerful knowledge-based search technology. As a deep learning engineer, you’ll be an integral part of the data science team and have the opportunity to work on one of the hardest problems in e-commerce and contribute to the disruption of a multi-billion dollar industry.
The data science team at Twiggle is diverse and independent. Our mission is to generate insights and understanding out of data that Twiggle has collected over the past few years. We are responsible for the machine learning pipeline all the way from inception through data gathering to deployment.
What You'll do
Bonus points if you have
3D cameras for face authentication are expensive, bulky, complicated and have high power consumption. Using proprietary software and hardware, MultiVu is developing a single camera that can take a 3D color image from an inexpensive sensor in real time.
MutliVu’s innovative depth camera uses a single sensor without any active illumination or moving parts. Our proprietary imaging module, yield a compressed measurement over the sensor. State of the art deep learning algorithms extract both color and depth from a single image.
The algorithm team at MultiVu is developing state-of-the-art algorithms and solutions in the intersection of machine learning, computer vision, and computational photography. The team deals with a diverse set of problems such as images decompression, super-resolution, depth estimation, and face authentication.
* M.Sc. in Computer/Electrical engineering, Computer Science, Mathematics, Physics or related discipline.
* Experience in Deep Learning, and specifically DL for Computer Vision problems.
* 2+ years experience with Python
* Experience with image processing and computer vision algorithms.
* Great people skills.
* Experience in research and self-learning skills.
The following are a big plus:
* Ph.D. in a scientific field
* Experience with computational photography/imaging and/or optics.
* Published paper in a peer reviewed conference/journal in the field of image processing/computer vision/machine learning
* Experience with C++
The primary objective of this position is to lead, participate in, and support development and integration to introduce new innovative capabilities and technologies to Starkey’s products and services.
Use a diversity of tools- from basic signal processing to the most advanced deep learning techniques.
B.S in Computer Science, Electrical Engineering, Biomedical Engineering or related fields, M.S. is strong plus
RADLogics, a pioneer in Machine-Learning driven medical imaging analysis solutions is growing and looking for a talented Deep Learning researcher who will join the algorithms team in Tel-Aviv!
RADLogics Virtual Resident-powered algorithms provide consistent objective measurements and numeric characterization of findings, resulting in a more valuable report, and improving the quality of the healthcare radiologists provide.
Our algorithms automatically analyze imaging data associated with CTs, MRIs and X-ray using machine learningdeep learning.
Position location: Tel Aviv (MIXER – Expo Tel Aviv)
Invent, Design, implement and test new deep learning methods in the fields of computer vision and medical imaging.
As a Senior Data scientist at Windward, you’ll be responsible for creating and implementing various models on unique big datasets, developing the algorithm all the way from an idea to a working piece of code in production. The algorithms may be related to predictive modelling, classifications and ship behavioral patterns.
Throughout this fun journey you'll also learn a thing or two and improve your technical skills (working with NoSql DBs, Apache Spark, building services to your ML products, etc.) and ML knowledge (working with unbalanced data, risk modeling, explaining black-box models and much more).
Your work will generate significant impact in the maritime insurance and intelligence domains. In short, we are looking for a brilliant problem solver with a passion for data to join a fast paced company who is changing the maritime world.
What will you do?
Who Are you?