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.

Requirements

·        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

Advantages

·        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

Requirements:
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.

Key Responsibilities:

• Bring creative ideas for innovative computer vision algorithms
• Extensive experience creating computer-vision projects, and deep-know in at least on of: image
• processing, multiple view geometry, segmentation, information theory, parameter estimation
• Conduct computer vision experiments to understand response and performance on our data.
• Research, design, and implement computer-vision algorithms and implement machine-learning
• solutions whenever possible
• Performs coding, configuration, and deployment that meets a high standard, scalable and robust.

Job Requirements:

• At least MSc degree in EE/computer science/mathematics/physics or equivalent field from a leading university, or otherwise very impressive achievements creating computer-vision systems
• At least 2 years’ experience developing groundbreaking algorithm creation
• Experience reading and integrating academic research work into production
• Experiences in C++/Python/MATLAB language
• Experiences in OpenCV and dlib
• Experience with Object Oriented Design and implementation
• Experience and understanding in classic machine-learning: ensemble methods, neural-networks, training-pipelines
• Thinking out of the box and problem solver

Inspekto is looking for a Inspekto is looking for an enthusiastic and creative algorithm engineer.

Key Responsibilities:

• Bring creative ideas for innovative computer vision algorithms
• Conduct statistical analysis to understand the data and verify algorithms performances
• Research, design, and implement supervised and unsupervised ML/DL algorithms
• Performs coding, configuration, and deployment that meets a high standard, scalable and robust

Job Requirements:

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

• At least 2 years’ experience developing groundbreaking algorithm creation
• Experience reading and integrating academic research work into production
• Experience in C++/Python/MATLAB languages
• Experience in TensorFlow/Pytorch and OpenCV
• Experience with Object Oriented Design and implementation
• Experience and understanding in classic computer vision: Image processing, projection, segmentation
• Thinking out of the box and problem solver

What should you bring to the table?

• BSc in Computer Science from a leading academic institute (advanced courses or a MSc in a related field are a major plus)
• Experience in JavaScript and Node.js, AWS
• 2+ years of experience in Full Stack web development and implementation of algorithms related to one or more of the following fields: graphs and networks, natural language processing, machine learning

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

• Draw insights from tens of millions of labeled data points.
• Build machine learning and deep learning models that enhance the online shopping experience and help retailers understand their catalogs better.
• Define and implement techniques for measuring the quality of our machine learning pipeline.
• Enjoy the freedom of working independently while receiving support from the rest of the team.
• Have a direct impact on the quality of Twiggle's AI-powered retail solutions.

Requirements

• M.Sc. with distinction or PhD from a leading institute in CS/EE/Physics or a related field.
• Deep mathematical understanding of statistics, machine learning and deep learning modeling.
• Hands-on experience in developing deep learning models.
• Strong analytical skills; ability to analyze very large volumes of data to extract insights
• Excellent coding skills, preferably in Python.
• Excellent people skills; the ability to give and receive constructive feedback to help others improve.

Bonus points if you have

• Experience in delivering ML/DL models to production
• Experience with NLP models
• Experience with cloud platforms (AWS/GCP)

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.

Requirements:

* 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++

Starkey Hearing Technologies is a privately-held medical devices business with more than 6,000 employees and operations in more than 100 countries worldwide. Starkey is looking to hire great talent to join our newly established Israel Advanced Development center in Tel-Aviv that will focus on redefining medical wearable devices with advanced sensors and artificial intelligence technologies

Responsibilities

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.

Job Requirements

Education:

B.S in Computer Science, Electrical Engineering, Biomedical Engineering or related fields, M.S. is strong plus

Experience:

• At least 2 years of algorithms development and practical experience in the field of Machine Learning and Signal Processing development.
• Deep understanding of machine learning models, data analysis, and both supervised and unsupervised learning methods
• Understanding of the low-level Deep Neural Networks
• Experience with Python, MATLAB is a plus.
• Experience in C, C++ is a plus
• Knowledge and experience in the following is a strong plus:
  • Experience with TensorFlow and Pytorch frameworks
  • Experience with Big Data technologies – Hadoop / Presto / BigQuery
  • Knowledge of audio signal processing
  • Knowledge of embedded firmware development process

• Keeping up with latest research and top industry standards and the ability to learn quickly new technics and tools is essential for this position.

Skills & Abilities

• Enjoy working in a startup-like fast-paced dynamic environment.
• Great interpersonal skills
• Good oral and written communication skills.
• Ability to work effectively in a small team and individually.
• Proficiency in problem solving and proven ability to perform complex engineering analysis
• Must be self-motivated and able to work with minimal guidance to make decisions and report progress
• Demonstrated leadership role in projects, including ability to provide guidance and direction on the project to less experienced technical personnel
• Proven record in working on innovative/creative projects at work or spare time is a plus
• Beyond existing skills, the ability to learn quickly new skills and domains is essential for this position.

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)

Job responsibilities:
Invent, Design, implement and test new deep learning methods in the fields of computer vision and medical imaging.

Requirements:

• MSc /PhD in Computer Science/Electrical Engineering or related fields
• Previous experience in computer vision, image processing and deep-learning addressing challenges of detection, classification and segmentation
• 2+ years programming in Python, knowledge in MATLAB
• Motivation to work on a product that makes a real positive impact!
• Experience with medical data – Advantage
• Software engineering skills – Advantage

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?

• You’ll be working on a distributed research cluster to create features and insights from large volumes of noisy data from different sources; choose an algorithmic approach to solve the problem at hand and define success metrics to measure algorithm performance.
• You'll be expected to research and understand the context of different maritime phenomenon and propose a data-based solution which addresses a business need.
• You'll be required to work independently but you'll be surrounded by a strong and experienced team of data scientists who will be willing to help (and learn from you).
• You'll be communicating with product managers to understand needs and outline solutions.