NVIDIA is the world leader in multiple areas of Accelerated Computing and is supercharging computing for the most demanding users. We are well positioned as the ‘AI Computing Company’, and our software stack use GPUs to power all modern Deep Learning software frameworks, Machine Learning, Accelerated Analytics and workflows across a wide range of verticals as well as hosted in every major cloud provider and by every computer OEM.

We are looking for a Solution Architect who is passionate about growing our presence in Israel.

What You’ll Be Doing

• You will partner with our Business Development team to secure design wins, and to lead the support of the product through customer proof-of-concept evaluations, gaps in collateral, and industry demo capability.
• You will coordinate the setup of experiments, tests, equipment, and otherwise facilitate evaluations that help solve customer, partner, and ISV problems using GPU deep learning and other NVIDIA technologies
• Be industry champion and contributor on integrating NVIDIA technology into Enterprise Computing architectures to support HPC/Machine Learning, Deep Learning, and Data Analytics
• You will establish close technical ties to the client facing teams, establishing personal relationships to facilitate rapid resolution of issues and promote the highest levels of customer satisfaction
• You will work closely and collaborate with the NVIDIA customer account team, other Solution Architects, and/or product engineering teams during.

• Comfortable working across all major internal functional areas (engineering, sales, marketing, executives), as well as external partners, customers, and content developers.

What We Need To See

• Ability to engage multiple levels of organizations.
• BSc and higher Degree in Engineering, Mathematics, Physics, or Computer Science
• Extensive experience delivering Enterprise Accelerated Computing (HPC, Deep Learning, Machine Learning) computing infrastructure.
• Modern Bi-Modal datacenters for enterprise computing architectures– Storage, Compute, and Software stacks.
• Exposure to C, Python, Java, or C++ programming
• Parallel programming expertise
• Exposure to GPU technology and CUDA programming
• Direct experience architecting, managing, and supporting shared compute infrastructure software
• Experience working with enterprise developers and academic research community supporting computer vision, data analytics, or Deep Learning.
• Strong verbal and written communication skills
• Strong teamwork and interpersonal skills
• Ability to multitask effectively in a dynamic environment
• Dedicated with strong analytical skills

• Desire to be involved in diverse and creative work

Ways To Stand Out From The Crowd

• CUDA optimization experience
• Specialty skills in large scale computing clusters, and use of Machine Learning (XGBoost, PCA, SVM, KNN) or Deep Learning (CNN, LSTM, VAE).
• Experience with Devops tools including Docker containers and Data Scientists workflows
• Experience with Kubernetes, OpenStack, or SLURM for workload orchestration.
• Skills in analytical problem solving and using data analysis to support strategic decisions
• You are a self-starter with mindset for growth and real passion for continuous learning.
• Strong presentation skills

We are seeking a sharp algorithm developer with a solid understanding in machine learning, deep learning and statistics. This is a magnificent chance to join a leading technological company from an early stage and make an impact.

Ideal candidates will have:

• Relevant prior experience in solving analytical problems using quantitative approaches

• BSc/MSc in computer science, mathematics, engineering or statistics.

• Passion for solving real world problems

• You share our values

Hello,

I am Tal, Vitalacy's CTO, a company based in LA with Israeli co-founders / engineers is looking for a computer vision / deep learning engineer to build a solution for object / patient detection in medical facilities.

We are installed in 5 major hospital in Southern California and NY and are looking to expand our set of technology products.

We are looking for talented, results driven engineers that want to contribute to an important task (we call it a mission).

We are looking for Israeli engineers (because they are the best), the work is remote and we will be able to evaluate results in real hospitals.

Zebra medical vision is a leader in modern computer vision and deep learning practices.

The Algorithms team is in charge of creating cutting edge algorithmic products which detect and diagnose a wide variety of medical conditions from medical images.

These solutions help make medical diagnosis faster, more accurate and more accessible to millions of patients around the world.

As a researcher on the team, you will get a chance to work alongside some of the best minds in the field and implement the latest Deep learning and computer vision algorithms, in a multidisciplinary and dynamic environment.

Responsibilities:

• Research, design and develop deep learning and computer vision algorithms to detect a wide variety of medical conditions from image and textual data.
• Work with a multi-disciplinary team of medical doctors, engineers, and designers to deliver an end-to-end product: from the idea phase, through collecting and assessing the data, exploring algorithmic approaches, developing, testing, validating and integrating the algorithm in the production environment.
• Read and implement algorithms publications in the field of deep learning and computer vision, as well as publish your own work, and contribute to the community via conferences/meetups etc.
• Participate in long term research efforts, and build excellence in the field of deep learning for imaging data
• Contribute to the team’s methodologies, best practices and toolset, share your work and give/receive feedback from peers in the team

Requirements:

• MSC. in computer science, preferably in the field of machine learning/computer vision
• 3+ years of hands on development of complex machine learning models using modern frameworks and tools (ideally python based)
• 1+ year of hands on experience with Deep learning using common open source frameworks and tools (Keras, TensorFlow, Theano, Caffe etc.)
• Strong communication and collaboration skills
• Team player, positive and driven, fast learner

We believe that for Financial Institutions, personalization is key to increased customer satisfaction and loyalty as well as to improved business results. ​

Recognizing the complexities of financial products, Earnix provides an end-to-end Pricing and Product Personalization Software Suite, driven by world-class data science, analytical modeling tools, and integrated machine learning.

The Earnix 3D Personalization Suite empowers Financial Institutions to offer the RIGHT PRODUCT, at the RIGHT PRICE, at the RIGHT TIME, while maximizing business KPIs, ensuring governance & compliance, and improving the enterprise-wide end-to-end product personalization and pricing process.

Earnix has been consistently innovating for Banks and Insurers around the globe for over 18 years. We have offices in the Americas, Europe, Asia Pacific, and Israel.

Job Description:

We are looking for a Machine Learning Research Scientist who will be responsible for exploring, testing and adopting novel Machine Learning methods to enhance Earnix’s products

Requirements:

• MSc in Computer Science/Statistics/Engineering or any related field with focus on applied statistics, machine learning, deep learning
• At least 2 years’ practical experience as a researcher, preferable business experience in applying these concepts to business related problems
• Expertise in machine learning/statistical/data-analysis algorithms: GLM, decision trees, GBM, clustering
• Proficiency in R/Python
• Programming experience in Java

Advantages:

• Experience in NLP
• Experience in deep learning
• Prior experience in the FinTech industry
• Programming experience in Java

Additional skills:

• Fast learner & self-motivated
• Strong analytical capabilities
• Out of the box thinking
• Sufficient mathematical background for reading applied statistical/data-analysis papers
• English proficiency – both verbal & written

Are you a passionate student thinking about contributing meaningfully to battling cancer? Then join the deep learning team here at DeepOncology AI, where we can provide you with the opportunity to make a difference with your career. We believe this is a very exciting opportunity for someone who has the right skillset and drive to make an impact to support our mission here.

Requirements: 

3rd/4th year student

Python + PyTorch + Computer Vision

Agromind is an Ag-tech startup, disrupting the way pests, diseases and nutrients deficiencies are being detected, analyzed and treated using advanced AI methodologies.

We are looking for a strong candidate who can join us and lead our technology.

Requirements:

The successful candidate must have:

* strong coding skills

* experience in Deep Learning and computer Vision.

* Great people skills

* Hands-on capabilities and mind set.

fitV is looking for a talented leading computer vision algorithms engineer.

A unique opportunity to join a fast-growing startup, located in the heart of Tel Aviv, and be a part of a small group. Developing cutting edge computer vision technologies that bring real-time workout feedback capabilities, fitV is an innovative startup that revolutionize the health and fitness domain, by helping trainees to boost their workout anyplace and anytime.

Job description:

Research and develop state-of-the-art computer vision algorithms for pose estimation, 3D reconstructions and motion tracking. Develop and design optimized architecture for production-level solutions on embedded/mobile platforms.

Qualifications:

•Experience with hands-on research and development of computer vision algorithms

•Proficiency in programming language for deep learning development – python/C/C++

•Practical experience in deep learning frameworks (tensorflow/caffe/etc) and cloud services for ML development

•Advantage: experience with optics imaging sensors and depth sensors

•Advantage: experience in code optimization for GPU/CPU

•M.Sc/Ph.D. in CS/EE/Mathematics in the domain of computer vision or similar

Utilis is a young, dynamic and successful startup company specializing in SAR infrastructure analytics. Utilis has developed a unique technological solution for detecting potable water leaks in urban distribution systems using satellites. Utilis R&D department seeks for a highly motivated, responsible, curious individual who is willing to solve complex problem for the Data Scientist position.  The selected applicant will be a part of Utilis innovation team leading the company data flows and analysis.

Responsibilities:

• Manage the company’s data flow.
• Perform ongoing data analytics and statistical studies.
• Develop complex computer vision algorithms to be applied on satellite imagery and geospatial datasets.
• Responsible for R&D machine learning algorithm development.
• DB design, management & maintenance.

Qualifications:

Minimum qualifications

• Bachelor’s degree in a scientific relevant field is required (Computer Science, Engineering, Bioinformatics, Geoinformation or Geo sciences); MS/PhD is preferred.
• Strong background in statistics and statistical programming skills.
• Background in machine learning and computer vision, including familiarity with deep learning frameworks (e.g. Tensorflow, PyTorch, Keras).
• Experience in SQL DB design, management and maintenance (POSTGRESSQL),
• High English proficiency (writing, speaking & reading)
• Strong communication skills & a tech friendly approach
• Programming: Python (high proficiency).

Preferred qualifications

• Programming: R, Java, MATLAB.
• Experience with computer vision and image processing.
• Experience with geospatial & numerical python packages (e.g. Numpy, GDAL, Geopandas, Rasterio).
• Experience with remote sensing, geospatial analytics and GIS development.
• Experience in Geospatial DB (PostGIS).
• Experience with AWS environment.

Start date: Immediate (July-August 2019).

We are growing and looking for a data scientist to join our data science team!

As a data scientist in MDGo you will implement state-of-the-art machine and deep learning solutions as part of our production system and take part in ongoing deep learning research to widen MDGo’s line of product and capabilities.

Responsibilities:

• Data preparation, processing and augmentation
• Implement machine and deep learning models and pipelines for research
• Research analysis
• Deploy models in a production environment

Qualifications / Requirements:

• At least B.Sc in a relevant field: Computer Science, Statistics, Mathematics,

EE or equivalent quantitative field

• 1-2 years of professional experience using machine deep learning to solve large scale problems. Experience with time series data signal processing is a big plus
• Exceptional candidates with M.Sc Ph.D and no work experience or candidates with proven track record (e.g. competitive Kaggler) will be also be considered
• Good Python programming skills, including scientific packages (scikit-learn, numpy, scipy, pandas, pytorch, keras)
• Self-motivated and capable of solving challenging real-world problems
• Team player and a great communicator