Machine learning

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

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.

Cognata is looking for a data scientist for the Algorithm team. In this role you will be responsible for building cutting edge machine learning products, acquiring and analyzing big data sets, and creating actionable models and predictions.

Responsibilities

  • Identify valuable data sources and automate collection processes
  • Undertake preprocessing of structured and unstructured data
  • Cleaning the data, estimating and minimizing noise
  • Build predictive models and cutting edge machine-learning algorithms
  • Present information using data visualization techniques
  • Develop:
    • Deep neural network based classifiers
    • Generative model, e.g, GANs, Image-to-Image translation
    • Reinforcement learning based networks design
  • Collaborate with other engineering groups

Qualifications

  • B.Sc in Mathematics, Physics, Computer science or equivalent
  • Strong background in mathematics specifically statistics
  • Proven knowledge of applied machine learning architectures
  • Experience of at least 3 years with Python, Matlab
  • Proficiency with a deep learning framework advantage PyTorch
  • Advantage experience with Computer Vision development
  • Familiarity with Linux
  • Source Control: git
  • Proven Problem-solving skills and aptitude
  • Thorough
  • Excellent communication and presentation skills
  • Team Player & willing to learn

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

eBay SEO

Search Engine Optimisation (SEO) at eBay is a fun and challenging environment, where every day you will be finding solutions for eBay’s global scale and unique breadth of inventory.
Your work will directly improve the experience of hundreds of millions of buyers and sellers, around the world as they interact with billions of listings.
eBay’s SEO teams are recognized as industry leaders, regularly piloting the latest initiatives in collaboration with the world’s largest search engines, and pioneering new techniques and ways of working.

Primary Job Responsibilities 

Play a leading role in the design and implementation of the ML-based systems of eBay-SEO. You will be responsible for forming end-to-end solutions, and accordingly will be familiar with many of the components developed by the team. You will be tackling the most challenging requirements around scalability, availability and big data processing.

Responsibilities will include:

  • Take ownership and help drive the team and group ML-based efforts.
  • Work with scientists and engineers to explore novel POC solutions for data-based problems, investigate design approaches, prototype new technologies, and evaluate technical feasibility.
  • Design and implement the testing framework and CI/CD process for the system.
  • Work in an agile environment, constantly striving to increase the team productivity and velocity.

·

Required Skills

  • Thorough understanding of ML and experience in deployment to production.
  • Proven ability of leading and delivering complex projects with multiple team dependencies.
  • Deep hand-on knowledge of Java application development, testing and frameworks.
  • Significant experience in design and development of Internet-scale systems with massive amounts of data.
  • Experience with Big Data environments – Hadoop, Spark, Kafka, DWH, Analytical databases etc.
  • Industry experience with standard AI and ML techniques, NLU and scientific thinking.
  • Strong knowledge of micro-services architecture.
  • Experience with Docker/Kubernetes.
  • BSc/MSc in computer science/software engineering or other relevant education.
  • Advantage: Airflow/Azkaban, sklearn, tensorflow, pytorch, MLlib, MLeap.

We are looking for a Senior Data Scientist for analyzing IoT sensors data.

The main tasks include:

  • Draw insights from large sensor data sets.

  • Develop and assess performance of anomaly detection algorithms.

  • Write algorithm specification for developers.

Qualifications

  • 5+ years of industry experience developing machine learning models from inception to business impact. Proven ability to tailor your solutions to business problems in a cross functional team

  • Master or PhD in CS, statistics or math – must

  • Experience using statistical (R, Python) or computer (Java) languages – must

  • Deep understanding of a variety of machine learning techniques such as clustering and artificial neural networks – must

Experience in advanced statistical techniques such as time series analysis – must

Algorithms Team Leader

DiA Analysis

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

Senior Data Scientist

Zooz (a PayU Compnay)

ZOOZ, a PayU company, is a leading financial services provider in global growth markets. We are building our next generation end-to-end PSP solution.

Our solutions are based on the most advanced technology that empowers billions of people and millions of merchants to buy and sell online, extending the reach of financial services. Our systems are microservices based, scalable and distributed.

Here at ZOOZ we believe that data is a key factor to our customers’ success. With smart dashboards, accurate reports, real-time analytics and insights, our customers are able to visualize their global payments and make more informed decisions. This, in turn, increases their payments efficiency and success rates.

As our product evolves we are looking at new ways to increase our offering to our customers and improve even more their payment performance. We’re looking for an experienced data scientist to build and lead a data scientist team and work closely with data engineering and product teams to add new capabilities to our offering.

What you will do

  • Apply advanced statistical and predictive modeling techniques to build, maintain and improve our real-time decision making systems
  • Create anomaly detection models on complex datasets to improve our customer’s payment performance
  • Develop processes and tools to monitor and analyze model performance and data accuracy
  • Translate business problems into ML models, brainstorm to identify the best approach, and conduct hands-on research to weave together data, product thinking, and algorithms to generate maximum business value
  • Work closely with Product managers to identify and answer meaningful product questions that support decision-making
  • Research and look for improvement and innovation opportunities with business impact that exist in internal and external to continuously improve our product offering. Be a source for innovative ideas

Who you are

  • BSc in computer science or engineering field Or MSc, PhD, or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.)
  • At least 5 years of proven experience as a Data Scientist in the industry preferably in anomaly detection and predictive analysis.
  • Proficient in SQL
  • Hands-on experience with scripting languages – Python and advantage
  • Experience working on product development teams – an advantage
  • Good business sense and logical thinking. Ability to synthesize information and generalize the pattern.
  • Ability to communicate complex quantitative analysis in a clear and precise manner
  • Industry experience in payments, e-commerce, or financial services – an advantage
  • Excellent spoken and written English

 

Job Description

Alibaba's DAMO-Israel lab is super-charging innovative products by empowering them with Deep-AI. These products are targeting fascinating new markets, such as photo sharing, storage services, and more.

The Israel Lab is spearheading research and development of core computer vision and machine learning technologies, collaborating with world-class global teams to deliver emerging products and technologies.

As part of Alibaba Machine Intelligence Israel Lab, you will work on innovative projects and will be able to enjoy and leverage the computational power and infrastructure of the Alibaba ecosystem.

Your Responsibilities:

– Solve the most challenging problems in AI and publish them at top conferences.

– Research and experiment with state-of-the-art deep learning algorithms to solve critical business problems of massive scale.

– Lead academic and industrial collaborations with top researchers. Ignite cross-team collaboration inside DAMO academy with researchers, software and data engineers to develop the next generation of AI products.

– Plan and execute cutting-edge research to advance the understanding of images, video, and natural language. Lead the integration of your research all the way into Alibaba’s products.

Job requirements

– Ph.D. in Computer Science, Electrical Engineering, Mathematics or similar, preferably with a focus on machine-learning, optimization, data science and its applications.

– Proven track record demonstrated by research grants and fellowships, patents, and publications in top conferences, NeurIPS, ICML, CVPR, ACL, and similar.

– At least 4 years of relevant industry experience, with proven success in delivering novel, high-quality solutions

– Proficiency with coding in Python or similar, as well as leading deep learning software libraries such as Pytorch, Tensorflow and Keras.

– Creative and hands-on mindset. Passionate about AI

We are very proud of our culture and vision of Alibaba, which includes continuous learning, adaptivity, teamwork and commitment. Join us on this journey!

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