About our company

What role are we seeking?

Description

Requirements

Join our top-notch Computer Vision AI Algorithm group at Pixellot and help us revolutionize sports production.

Pixellot’s automated sports production solutions revolutionize traditional video capture, production and distribution processes, enabling professional and amateur sports organizations to affordably cover and monetize their events.

As part of the AI algo group you will have an impact over the company's activity and success. You will take part in Computer Vision and Machine Learning development for Pixellot’s products: detection, recognition, and real-time automatic production with an unmanned camera system.

Are you passionate about real-world AI solutions, a team player and have great coding skills? Join our all-stars team!

As part of your role you will:

•  Research and develop state-of-the-art Computer Vision and Deep Learning based algorithms to be integrated into Pixellot's products. This includes academic-style research and design in Python.
• End product platform implementation (C++), while considering constraints such as computation resources, response time, memory consumption, etc.
• Work and cooperation with All-star teammates across our R&D group.

You should bring with you:

•    M.Sc / PhD student (relevant fields: Electrical engineering/ Computer Science / equivalent). GPA 85+
•    Proven experience in deep learning and machine learning research and development for computer vision tasks
•    Excellent programming skills
•   Proficiency in python and deep learning tools (e.g. keras / tf /pytorch)
•  Strong independent work and self-learning abilities.
•   Available for at least 3 working days a week.

Advantage:

•  Excellent C++ programming skills (or equivalent OOP) – Big Advantage
• Experience In OpenCV
• Experience with video and real-time algorithmic development
• GPU computing (e.g., OpenCV), with parallel considerations

Citi’s Innovation lab in Tel Aviv is a greenhouse for start-up like products within the Fintech industry. We deliver innovative products using cutting-edge technologies in highly complex architectures and with the highest delivery standards. We work on projects in many advanced domains spanning across AI, Machine Learning, Big Data, NLP, Analytics, Blockchain and many more.

The data scientist will take part in the implementation of new and strategic initiatives, and will focus data related tasks applying data science and algorithmic solutions. The ideal candidate has experience in solving analytical problems using quantitative approaches, a passion for data, enthusiasm to work closely with business partners on data-related projects and background in finance. This is a unique opportunity to initiate and drive data-driven projects with high business impact and visibility within a large financial organization.

Job Description

• Formulate financial business use cases in machine learning terms
• Define tests and experiments that aim to assess the relevancy and feasibility of machine learning solutions to business use cases
• Assess data availability and data quality
• Understand our data and apply techniques for feature engineering and selection
• Apply state-of-the-art machine learning techniques to financial data such as model selection, training, testing and validation
• Compile and present complex information using data visualization tools such as interactive notebooks or single-page application
• Prepare and present written and verbal reports to key stakeholders
• Work closely with product owners to develop client solutions for new and existing channels
• Establish effective working relationships directly with your stakeholders
• Grow our catalogue of common assets, such as code templates, libraries, utilities, services, etc.

Experience & Qualifications

• B.Sc Mathematics/ Economics/ Computer Science / Statistics or equivalent
• At least3 years of experience as a data scientist
• You must be highly proficient in Python and relevant libraries
• Knowledge of a variety of machine learning techniques (exploratory data analysis, predictive modeling, supervised/unsupervised machine learning, anomaly detection) and their real-world advantages/drawbacks – Must.
• Background in finance is a strong advantage
• Experience with data visualization tools – an advantage
• Passionate about financial data and problem solving. Understand that financial data comes in different formats and sizes.
• Proficiency in using query languages, such as SQL, Spark DataFrame API, etc. – an advantage
• Experience with Deep Learning, particularly when applied to financial data – an advantage
• You should know how to balance between theory and practice
• Self-motivated and team player that has the drive to learn and master new technologies and techniques.
• You are an excellent communicator, able to explain your work in layman’s terms
• You are eager to grow your skills.

Are you passionate about real-world AI solutions, innovative and have great coding skills? Join our top-notch Computer Vision AI Algorithm experts at Pixellot and help us revolutionize sports production.

Pixellot’s automated sports production solutions revolutionize traditional video capture, production and distribution processes, enabling professional and amateur sports organizations to affordably cover and monetize their events.

As an AI algorithm expert you will have a significant impact over the company's activity and success. You will take part in Deep Learning and Computer Vision research for developing Pixellot’s products: detection, recognition, and real-time automatic production with an unmanned camera system. .

As part of your role you will:

• Research and develop state-of-the-art Computer Vision and Deep Learning based algorithms to be integrated into Pixellot's products. This includes academic-style research and design in Python.
• End product platform implementation (C++), while considering constraints such as computation resources, response time, memory consumption, etc.
• Work and cooperation with All-star teammates across our R&D group.

You should bring with you:

• Impressive M.Sc/Ph.D. degree from prominent academic institute (Technion, TAU, BGU, BIU). Relevant degrees: Electrical engineering/ Computer Science / Applied mathematics/ Applied Physics / Bio-Medical engineering – Mandatory
• Proven experience in computer vision and deep learning algorithmic development – Mandatory
• At least 4 years’ experience in computer vision algorithms development – Mandatory
• Eexperience in computer vision / machine learning research – Mandatory
• Excellent C++ programming skills (or equivalent OOP) – Advantage
• Experience In OpenCV – Advantage
• Experience with video and real-time algorithmic development – Advantage
• GPU computing (e.g., OpenCV), with parallel considerations – Advantage

Novocure provides cancer patients with a novel treatment for aggressive cancers using Tumor Treating electric Fields (TTFields). We are developing a novel software platform for TTFields treatment planning. This software is being integrated into hospitals and clinics around the world, and will become a key element of TTFields therapy. We are looking for an algorithm engineer to develop and implement novel algorithms at the core of this system. This includes development of new features and improving existing algorithms.

Responsibilities for this position

• Revise and improve current algorithms based on system requirements
• Develop, implement and evaluate algorithms for new features.
• Collaborate with physicists and software and algorithm engineers to integrate the core algorithms within the software platform.

Write documents and prepare presentations necessary for patents, regulatory submissions, academic conferences and other scientific publications

Requirements for this position:

• Qualifications:

BSc/MSc in computer science or biomedical/electrical/computer engineering.

• Knowledge:

• 2-4 years of experience in industry or academia in the field of image processing.
• Proficient in implementing computer vision and image processing algorithms.
• Team player capable working in a multi-disciplinary environment involving software engineers, physicists, algorithm engineers and physicians.
• The following skills provide an advantage:
  • High level of proficiency in Python or C++
  • Experience with machine learning algorithms or deep learning
  • Experience with medical image processing
  • Experience with computational geometry / computer graphics

Plarium is an international game development company specializing in mobile and browser games. Our studios are located in the USA, Israel, Ukraine, and Russia, and consist of over 1,000 employees.

Plarium owns a state-of-the-art Big Data platform to support its different games and activities.

We are looking for a Senior Data Scientist with Deep Learning expertise who will utilize her/his expertise into designing predictive models in the fields of player behavior and game experience, and be a professional focal point for our data science team.

General Motors Israel (Herzliya) takes a significant part in shaping the autonomous vehicle. We shape the face of the future vehicles in diverse fields by developing cutting edge technologies.

The Cognitive Car Group is developing the "brain" of fully autonomous vehicles through advanced AI capabilities and leading the development of artificial intelligence (AI) for autonomous driving in GM worldwide.

We are looking for an AI applied researcher who will develop a highly capable autonomously driving agent, from inception to a fully working prototype, that is aimed to be productionized and integrated into GM’s vehicles all over the world. Among your responsibilities:

• You will Research and develop state of the art machine-learning and planning algorithms for autonomous vehicles
• Keep track of latest state-of the- art machine-learning research and adopt where relevant
• Write efficient code (python) that can run both on the vehicles and on our servers at scale
• Interact with simulations, designing experiments and drawing conclusions to gain deep understanding of real-world problems and the best possible way to solve them

What are we looking for?

• M.Sc./ P.hd. in Computer Science / Electrical Engineering / Mathematics / Physics
• Over 5 years of industry software development experience in at least one object-oriented language (such as C++/Java/C#) and at least one scripting language (such as Python/MATLAB)
• Strong theoretical background in AI/Machine Learning/Statistics
• Proven ability to perform research and implement methodologies
• Excellent problem-solving skills.
• Passion for learning new technologies

 It’s an advantage if you have:

• Experience (academic or industry) in Robotics, Machine Learning, Reinforcement Learning, Planning, Decision Making, Neural Networks / Deep Learning, Foundations of Optimization.
• Familiarity with deep learning frameworks (TensorFlow, PyTorch, etc.)
• Experience in writing industry-level code in production systems.

Cognata is at the forefront of the explosive growth of the autonomous vehicle industry – fusing Deep Neural Networks, Big Data algorithms and 3D simulation/mapping to succeed in a massive undertaking – supporting the full product life cycle of developing Autonomous Vehicles, to be rolled out in the real world, after being rigorously tested in billions of miles of simulated driving.

We’re looking for a highly talented and experienced Machine Learning algorithm engineer.

In this role, you will design, build cutting edge machine learning modules. All this while maintaining and contributing to our strong start-up can-do culture.

Responsibilities

• Develop:
  • Deep neural network based classifiers
  • Generative models based networks (GAN)
  • Reinforcement learning based networks design
• Geometric transformations and physical estimators

Qualifications

Languages:

• Required: C++, Java/C#, Python
• Advantage: LUA, Matlab
• OS: Linux (Preferred)
• Education: Bs.C, Ms.C or Ph.D in Physics, Math or Computer science

Experience:

• At least 3 years of experience with machine learning algorithms
• Deep Learning framework knowledge is required

Cognata is at the forefront of the explosive growth of the autonomous vehicle industry – fusing Deep Neural Networks, Big Data algorithms and 3D simulation/mapping to succeed in a massive undertaking – supporting the full product life cycle of developing Autonomous Vehicles, to be rolled out in the real world, after being rigorously tested in billions of miles of simulated driving.

We’re looking for a highly talented and experienced computer vision algorithm engineer, reporting to Algorithms team leader. In this role, you will design, build cutting edge machine learning modules.

All this while maintaining and contributing to our strong start-up can-do culture.

Responsibilities

• Deep neural network based classifiers, detectors and segmentation network development.
• Photo geometric transformations and Computer vision based filters.
• Sensor fusion of data and visualization
• Physical estimators

Qualifications

Languages:

• Required: Python, PyTorch
• Advantage: Matlab, git
• OS: Linux (Preferred)
• Education: Bs.C, Ms.C or Ph.D in Physics, Math or Computer science

Experience:

• At least 3 years of experience with computer vision algorithms
• Deep Learning framework knowledge is required
• Automotive experience is an advantage

We are looking for Team Leader to join our R&D group:

Responsibilities:

• Leading Algorithms Team (4 members)

• Leading the Deep Learning Research in the company

• Leading algorithm development for state of the art medical imaging systems, overall responsibility of the algorithm tasks in the product.

•  Implementation of new algorithmic modules, focusing on computer vision and artificial intelligence.

• Data Science and Data analytics: Deep Learning data preparation; Design of Deep Learning Networks for Classification, Segmentation and Tracking algorithms; implementation of models in a production environment.

• Solving complex computer vision problems, maintaining, testing, and analyzing algorithmic components.

What Do You Need to Succeed?

• Ph.D., M.Sc. in Exact sciences (Computer Sciences, Electrical /Electro-optical Engineering, Mathematics, Physics, Biomedical Engineering).

• Have theoretical and hands-on experience (4+ years) in at least one of the following: Computer Vision, Image Processing, Machine Learning.

•  Strong ability for an independent end to end implementation of algorithm solution: problem analysis and definition, mathematical solution, code implementation.

• Have managment experiencre

• Proficiency with Python

• Proficiency with OpenCV