Are you a Computer Vision and Deep Learning expert with a passion for tackling hard research problems and publishing their innovative solutions at top quality conferences? Are you a visionary that loves to come up with bright new ideas, search and lead them all the way to successful academic and business results? If this describes you, then the AI Multimedia department at the IBM Haifa Research Labs is the right place for you.
Our AI Multimedia team focuses on Artificial Intelligence that specializes in deep learning, computer vision, augmented reality, video analytics and 3D vision to innovate and grow new Research AI assets.
Join us to become an AI Researcher – to be given the freedom to create and embrace cutting edge AI challenges, publish papers in top-tier academic conferences and journals, while helping transforming and solving customer's technological, business and functional requirements.
Research, design, implement and evaluate novel computer vision and deep learning algorithms
Collaborate with research groups spread all over the world expanding IBM’s global research assets
Work closely with software engineering teams to drive scalable, real-time implementations
Author and present outstanding research academic publications in top academic venues.
Position location: Tel Aviv or Haifa site.
Required Technical and Professional Expertise
MSc or PhD in the field of Computer Vision, Machine learning or related domains
knowledge of and experience in state-of-the-art computer vision and machine learning and deep learning technologies
experience in understanding and implementing computer vision algorithms using open-source and self-developed code
Preferred Technical and Professional Experience
Publications at top quality peer-reviewed conferences or journals (e.g. CVPR, NIPS, AAAI, ICCV, ECCV)
Proven track record of innovation in creating novel algorithms and advancing the state of the art
Experience working with major Deep Learning platforms (e.g. TensorFlow, Keras, PyTorch)
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:
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
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.
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.
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:
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.
Looking for a Deep Learning software student for Mobileye Autonomous Driving SDK group in Haifa.
This is an exciting opportunity to work with highly talented engineers and be a part of product innovation on cutting edge technologies in Deep Learning optimization domain.
If you are excellent, bright, hands on person with passion to make a difference come to be part of the revolution!
What will you do?
As a Deep Learning software student, you will develop various tools that help to optimize Deep Learning networks. You will optimize the solutions by applying cutting edge network optimization techniques and will have the chance to influence future generations of Mobileye hardware and software stack.
Studies towards B.Sc. or M.Sc. in Computer ScienceEngineering
� With at least 2 semesters left until graduation
� Ability to work at least 20 hours a week in regular business hours
Background in Statistics/Machine Learning
Background in Neural Networks/Deep Learning
Experience in Python programming language is a plus
Inside this Business Group
Automated Driving Group : Zero accidents. Mobility for all. Intel is collaborating with the world's leaders in automotive design and technology to turn visionary concepts for automated driving into reality. The Automated Driving Group (ADG) is architecting transportation for a better life and a safer world. We accelerate innovation and adoption of smart, connected, transformative, market leading automated driving solutions by delivering high performance SOC’s, modules, software and reference designs.
Advanced Analytics is the leading group at Intel that creates state-of-the-art machine learning and artificial intelligence (AI) solutions. Our group is a competency center for machine learning & big data at Intel, we’re one of the biggest Data Science organizations in Israel. We deliver internal and external solutions/products that can create a competitive advantage for Intel.
We have the dream job for Data Scientists: we have many huge datasets; we’re working in diverse and exciting areas of practice: from “classical machine learning”, through Deep learning, NLP, signal processing, to Reinforcement and online learning, and more; We’re using variety of technologies spanning all best-in-class range (e.g.: Python, Spark, Scala, Kuda, Tensor-Flow, and more); We’re always staying up-to-date with the state of the art in the relevant domain and bring the best instructors and courses; We conduct applicable research and present our work in leading conferences in Israel and the world, as well as organizing the Data Science Summit conference;
It is no wonder that we hire only the best for this position!
If you’re a data scientist in heart and soul, who want a job where you get fascinating problems to solve, always learn new skills and tools, who want to work as part of a brilliant and engaging project team throughout the project's life cycle and develop algorithms using Machine Learning and Data Mining techniques, system design and coding in variety of tools and languages – send us your CV today.
Inside this Business Group
Intel's Information Technology Group (IT) designs, deploys and supports the information technology architecture and hardware/software applications for Intel. This includes the LAN, WAN, telephony, data centers, client PCs, backup and restore, and enterprise applications. IT is also responsible for e-Commerce development, data hosting and delivery of Web content and services.
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like autonomous driving. But it takes real thought leadership and expertise to identify and then harness the AI trends and technologies that will transform the way people travel for good. And that’s where you come in. To ensure we can continue our pioneering work in this future-defining field, our team is currently looking for an expert in AI / Machine Learning for our upcoming Technology Office in Tel Aviv.
As specialist in AI/Machine Learning you are responsible for the development and evaluation of new AI-based technologies at BMW. You are strongly aligned with your counterparts headquartered in Munich and ensure the transfer of all generated insights and research.
You have profound experience in the areas like AI, Deep Learning and Machine Learning. Experience in Natural Language Processing, Conversational User Interfaces, bots, computer vision, autonomous systems is an advantage. Your knowledge and experience enables you to quickly evaluate new technical approaches and to create new applications. The innovative solutions you define create sustainable added value for the BMW Group.
In your function you have the responsibility to establish a close networking relationship between the BMW Group and the Israeli startup ecosystem and universities. You scout new solutions and partners within the reach of the tech office location in Israel. You drive the evaluation of new technologies in the business context of BMW and together with external partners, such as startups and universities, you define and implement collaborations and research projects. You provide a mid- and long-term analysis of industry trends and innovative technologies to ensure a cost effective development of IT Technologies within the BMW Group.
in the field of AI, machine learning.
Are you looking for an exciting challenge? Then contact us via the LinkedIn profile shared in this publication and join our team.
Oracle Data Cloud – Our Data Science Group
The data science group is comprised of individuals from various backgrounds – Computer Science, Physics, Statistics, Engineering, and Cybersecurity. We utilize the team’s wide range of skills to solve complex problems in multiple domains, with tools including machine learning, classification, time series analysis, statistics, graph theory, algorithm design, and more.
We currently focus on two main projects, both in the general domain of online advertising:
Page quality scoring – we aim to score the quality of web pages to better inform advertisers about the potential of serving ads on these sites. This is based on a multitude of data sources available to Oracle Data Cloud and to the broader Oracle, as well as other sources that we can collect ourselves (e.g. scraping & text analysis). This is a newly initiated project that is in the process of being created from scratch by our team, leaving a lot of room for innovation and exploration.
Bots and invalid traffic detection – as advertisers pay websites to show their ads, sophisticated fraudsters drive traffic to their own websites in order to be paid more by advertisers. This invalid traffic could be scripts, bot networks, click farms in 3rd world countries, and so forth. These fraud operations are getting more and more sophisticated and costing the ad industry billions of dollars yearly. Our role is to identify if a human or a bot is “viewing” each ad.
We are looking for someone who is up to the challenge to join our team of experts.
The position includes – design, research, evaluation, and implementation of innovative solutions to the problems we tackle. This requires utilizing domain knowledge and state of the art academic techniques for data mining and prediction; developing methodologies and systems that continuously learn, evaluate, and improve the results of these products; constantly questioning our own ideas and reflecting on our instincts in relation to what the data tells us.
Amazon AWS Rekognition is looking for Full-Time Applied Scientists!
Join a new team of talented scientists, and research with us cutting edge computer vision and machine learning solutions.
Academic publications within the team are highly encouraged.
– M.Sc. or PhD in machine learning / computer-vision / data-science and/or related fields
– Python hands-on experience with deep-learning frameworks
– Experience with Unix environment is preferred
We have open positions both in Tel-Aviv (Sarona) and Haifa (Matam).
A leading large health organization is seeking to recruit an NLP developer to join an exciting natural language processing project in the field of medicine. The successful candidate will apply advanced machine learning based NLP algorithms on free text medical data.