The data science group is a research focused group within Datorama, a Salesforce Company, dedicated to putting science into the art of media buying.
The task of allocating paid media budget with the goal to maximize some desired outcome, such as conversions or leads, can easily be considered the holy grail of marketing automation.
We are looking for strong researchers to join the team and help us change the marketer's approach to media buying, inflight campaign analysis, and optimization.

Responsibilities:

* Design and code ML algorithms, applying techniques such as bayesian modeling and reinforcement learning
* Familiarize yourself with the online marketing world and data, define new challenges that exhibit high potential of business impact
* Stay up to date with recent advances in the academic machine learning community
* Contribute to our long term research agenda by building a repertoire of best practices, toolsets, and guidelines

Requirements:

* M.Sc./Ph.D degree in Mathematics / Statistics / Computer Science or other relevant domain.
* 5 years experience applying machine learning to solve complex problems
* Analytical, data driven, out of the box thinker
* Strong programming skills (we use python but experience with Matlab / R is also welcome)
* A big plus – substantial experience with one or more of: Bayesian modeling / Reinforcement Learning / Deep Learning

We are looking for Algorithm Developers for our team, developing and researching in the fields of Machine Learning, Computer Vision, and Detection theory. If you have a passion for one or all, please indicate that.

You will:

Develop state-of-the-art algorithms.

Collaborate with cross-functional teams: physics, software, applications and build new products that impact the lives of billions.

Provide software specifications and production code to meet project milestones.

Drive state-of-the-art projects, teach, mentor, or advise the internal teams.

Requirements:

M.Sc. graduate (or above) in Electrical Engineering / Physics / Computer Science / Mathematics.

Have theoretical and hands-on experience (3+ years) in at least one of the following: Computer Vision, Image Processing, Machine Learning, Detection.

Strong understanding of probability and statistics.

Able to work independently as well as part of a team.

Description

About GM

There’s never been a more exciting time to work for General Motors. To achieve our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion, we need people to join us who are passionate about creating safer, better and more sustainable ways for people to get around. This bold vision won’t happen overnight, but just as we transformed how the world moved in the last century, we are committed to transforming how we move today and in the future.

Why work for us
Our culture is focused on building inclusive teams, where differences and unique perspectives are embraced so you can contribute to your fullest potential as you pursue your career. Our locations feature a variety of work environments, including open work spaces and virtual connection platforms to inspire productivity and flexible collaboration. We are proud to support employee volunteer interests and make it a priority to join together in efforts that give back to our communities.
As we grow, we keep on adding new areas and fields to explore and develop and have the clear vision of hiring the most qualified and brightest talents in order to excel on cutting-edge and non-traditional automotive technologies.

General Motors Israel (Herzliya) takes a significant part in shaping the autonomous vehicle. We work on Active Safety, Smart Sensing, Vision Systems, Signal Processing, Machine Learning, Cyber Security, Sensor Fusion, Artificial Intelligence and Cognitive Systems.

The technical domains and ongoing work streams include software and hardware groups (research, development and engineering) that work on the most complex issues and challenges facing the new mobility era.

We shape the face of the future vehicles in diverse fields by developing cutting edge technologies.

About the Group and the position

The Smart Sensing and Vision research group is responsible for conducting researches with several sensing modalities, including vision, radars and optical depth sensors, toward improved safety and autonomous vehicles. We are leading the self-driving vehicle revolution.

The group is hiring an intern to assist in advanced research, development and evaluation of new concepts in the fields of computer vision and machine learning.

The work includes:

• Guided research
• In-vehicle and lab experiments revolving our autonomous vehicles
• Implementation and development of algorithms
• Technical publication of results

Qualifications

What are we looking for?

• Active M.Sc. or Ph.D. student with minimum one year left until graduation, in Computer Science or Electrical Engineering, specializing in Computer vision and/or Machine Learning
• Experience in computer vision / ML and programming – Must
• Experience in Deep Learning – advantage
• Strong programming skills, particularly Python
• Experience in development of computer vision systems in the industry
• Experience in object detection

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

NVIDIA is now looking for a Developer Relations – Intelligent Video Analytics (IVA) !

What You'll Be Doing

• Develop Israel developer IVA ecosystem with cross functional team: Product, Engineering, Applied Research, Marketing, and Sales
• Lead and develop strategic relationship with key IVA startups, ISV’s, and leading industries’ developers
• Know all NVIDIA GPU / AI computing platforms from datacenter to edge and effectively articulate the value proposition to the Israel developer community
• Drive adoption of NVIDIA SDK’s into developer products
• Funnel relevant startups to participate in NVIDIA Inception program
• Provide feedback of features requests into actionable engineering and product definition
• Be alert to the competitive landscape and communicate internally
• Strategic partnership and community building by attending research conferences and hosting technical meetups
• Engage industry events to speak, gather requirements, build relationships, showcase NVIDIA technology

What We Need To See

• BS/MS/PhD in Computer Science or Engineering
• 5+ years experience in Higher Education & Research or video analytics or IoT or healthcare industry
• 5+ years’ business development/strategic alliance experience for software/hardware products
• Excellent communication and liaison skills are essential, since candidate must work across all major internal functional areas (engineering, sales, and marketing) and with external partners, customers, and content developers
• Must be comfortable at C-level, as well as individual contributor engineers/marketers
• Working knowledge of with machine learning, deep learning, artificial intelligence platforms
• Working knowledge of the deep learning ecosystem – which markets are emerging most quickly, key players, competitors, etc.

We are widely considered to be one of the technology world's most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous with a real passion for technology we want to hear from you.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Flipkart Israel is the center of excellence and innovation of Flipkart, the fastest growing and the biggest promise in the online retail world, owned by Walmart. 

You will be part of a new Fintech team responsible for creating a new solution at the core of the company’s business targets, and which is expected to contribute significantly to Flipkart’s revenues in a short time. 

In your work as a data scientist, you will research and develop a new fintech solution from scratch, using statistical and machine learning methods. The solution that you will create will contribute directly and immediately to the performance and success of Flipkart in several new key areas.

Job responsibilities

Develop machine learning and statistical models.

Collaborate with the product and engineering teams to build an alternative credit scoring product in a cloud environment.

Skills and Qualifications

B.Sc/M.Sc in Computer Science, Mathematics, Statistics or related fields from a leading institute.

At least 2 years of data science experience.

Experience with machine learning and statistical modeling. 

Good scripting and programming skills in Python and/or R.

Proficiency in using SQL.

Experience with a cloud environment.

Great communication skills.

Motivated, self learner.

Team player with a "Can-do" attitude.

Research Intern – Microsoft’s Machine Learning Recommendations Team

The recommendation team in Israel is a fast growing team responsible for designing and building recommendations algorithms for a wide array of Microsoft products such as Xbox Games, Movies, Music, Microsoft Store, and much more. We develop cutting edge machine learning algorithms that serve hundreds of millions of users around the globe. Our team is looking for research interns to join one of the best machine learning group in Israel.

Responsibilities include: Working with world class machine learning researchers and data scientists. Help developing real-world machine learning algorithms serving millions of users worldwide. Developing recommender systems for Microsoft Store, Xbox games and movies. Working with big data. Statistical analysis of data. Extracting insights from data. Data manipulations (filtering, data transformations, etc.). Writing and publish academic papers in top tier machine learning and data mining conferences.

Qualified candidates meet the following requirements:

• MS/PhD student preferably in the fields of machine / deep learning with applications for Recommender Systems / Natural Language Processing / Speech and Audio Analysis / Computer Vision or related.
• Hands on experience working with large data sets.
• Good knowledge of machine learning algorithms and techniques.
• Good knowledge of statistics.
• Excellent coding skills. Familiarity with Pytorch / Tensorflow is a plus.
• Ability to work at least 3 days a week (ability to work full time is a BIG plus).
• Team player and enthusiastic.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.

We greatly encourage and welcome qualified candidates who happen to have disabilities to apply for jobs in our company

All Intern positions will be required to pass the Microsoft background check upon hire

Description

Yandex’s mission is to revolutionize the way people and goods are moving around. With its best in class self-driving cars technology, Yandex lets people move from point A to B safely, conveniently, and most efficiently.  Our fully autonomous vehicles are built upon the blend of specialized hardware, sensors, and state of the art technologies like computer vision, advanced deep learning, sensor fusion, and human behavior prediction. All these developed in-house by our top-notch R&D teams comprised of people who face toughest technological challenges every day. If you are as enthusiastic about self-driving cars as we are and like working in an extremely agile, challenging, and rewarding environment, we shall talk.

Role

As an applied scientist, you will be responsible for the development of state-of-the-art ML/DL models for object detection, behavior prediction, and sensor fusion. You will invent and experiment daily building upon Yandex’s ML/DL and big data technologies as well as industry-leading tools and frameworks. In collaboration with our international team of scientists, engineers, and product managers, you will shape the future of autonomous vehicles.

Basic Qualifications

• Ph.D. in Computer Science from a leading university
• Fluent in ML/DL frameworks and methods
• Proven record of applied research
• Excellent writing and communication skills in English

Preferred Qualifications

• Publications in top tier ML/CV conferences and/or journals
• Industrial experience in  Machine Learning productization
• Experience with Big Data technologies
• Good coding skills in C++ and/or Python

Artificial Intelligence is playing an increasing role in sales organizations of all sizes. Enterprises communicate with customers over phone, on email, in chats. Salespeople rely on AI to analyze the growing data and provide actionable insights. For example: which deal could be at risk? what challenges my competition? Which email is more important to read first? What do I need to know before my meeting? And many other scenarios that we can’t yet make public!

Dynamics for Sales is a huge and healthy business already, and we are building a big team which centralizes its AI capabilities, and take them to the next level. We analyze a variety of data types: text, speech (voice), structured data; we build models which give actionable and timely insights; and work on advanced personalization and customization to empower sales people to excel.

Work and Responsibilities

As a scientist you will be a member in a team of scientists. You will:

• Work on machine learning models in one or more of the following areas: natural language processing, personalization and recommendations, models on structured data, time series analysis.
• Develop new methods and use existing methods to create useful product features.
• Engage with product managers and with customers, to thoroughly understand business problems and design AI solutions accordingly.
• Collaborate with researchers and practitioners around the company.
• Represent the team in external and internal forums.

We provide the scientist with top-notch opportunities to work, grow, learn, as well as engage in academic activities such as publications and conferences, patenting, giving talks, traveling to customers and collaborators.

Qualifications

• PhD/MSc in computer science, electrical engineering, information systems, mathematics or physics, with 1+ year of meaningful experience.
• Interest in product, customers, the business behind the product and how they influence the algorithm.
• Passion to solve problems in the field of large-scale data analytics.
• Ability to balance creativity and execution.
• Ability to code in high level languages (e.g., C#, Java), as well as scripting (e.g., SQL, Python).
• Experience in AI projects that reached maturity – a strong plus.
• Team player, communicative, highly motivated, innovation-oriented, can-do attitude.