Corporate
Core Data Science (https://research.fb.com/core-data-science/) is a research and development team, working to improve Facebook’s products, infrastructure, and processes. We generate real-world impact through a combination of scientific rigor and methodological innovation. We are an interdisciplinary team, with expertise in computer science, statistics, machine learning, economics, political science, operations research, and computational social sciences, among other fields. This diversity of perspectives enriches our research and expands the scope and scale of projects we can address.
We are looking for researchers and data scientists to join the team in Tel Aviv. We work closely with various product groups throughout Facebook, bringing expertise in machine learning, statistics, causal inference, data analysis, and other quantitative methods. By applying your expertise in such topics you will be empowered to drive impact across a range of products, infrastructure and company operations. The ideal candidate will have a passion for building products and applying research expertise and the latest methods to solve challenging, real-world problems.
- Build data driven solutions to mission critical inferential and decision problems by developing state of the art statistical and machine learning methods on top of Facebook's unparalleled data infrastructure.
- Communicate best practices in quantitative analysis and develop cross-functional partnerships throughout the company.
- Work both independently and collaboratively with other scientists, engineers, designers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value.
- Actively identify new opportunities within Facebook's long term roadmap for data science contributions.
- PhD in computer science, statistics, economics, or related quantitative field, or MS degree with 4+ years of relevant experience.
- Experience using machine learning and statistical analysis for building data-driven product solutions or performing methodological research.
- Experience in programming and data analysis using languages such as R or Python, with packages such as NumPy, SciPy, pandas, scikit-learn, tidyverse (dplyr, ggplot2, etc.).
- Ability to initiate and drive research projects to completion with minimal guidance.
- The ability to communicate scientific work in a clear and effective manner.
- Publications in Machine Learning, statistics, data science, AI, computer science, or related technical fields
- Experience in production level software development in Python or lower level languages such as C++, Java.
- Experience in scalable dataset assembly / data wrangling, such as Presto, Hive or Spark.
Senior Data Scientist
NVIDIA Networking BU (formerly Mellanox) AI group is growing and looking for an outstanding data scientist to join the team. If you're looking to work on something new and exciting with top Deep Learning researchers from NVIDIA or if you are passionate about solving problems with real impact on billions of users, your place is with us.
What you'll be doing:
- Researching and implementing state-of-the-art machine and deep learning algorithms.
- Develop, prototype, and analyze DL/ML models in the fields of Reinforcement Learning, NLP, Anomaly Detection, Clustering, Genetic Algorithms, and more.
- Work closely with different partners to define business needs, data and model deployments.
- You will also have the responsibility of teaching and guiding the development team in the process of algorithm implementation and production.
What we need to see:
- M.Sc/PhD in Electrical Engineering, Computer Engineering, Computer Science or other relevant fields
- 3+ years experience as a data scientist
- Experience with Deep Learning frameworks (TF/Pytorch)
- Excellent programming, debugging and code optimization skills
- Experience delivering AI product from research to production
- Be able to work hands-on independently and at the same time be a team player
- Excellent written and verbal communication skills
- Background with Linux and Git
Ways to stand out from the crowd:
- Ability to work independently with minimal direction
- Background with working on unsupervised/semi-supervised tasks with complex structured data
- Experience with Reinforcement learning – a big plus
- Experience coding in C
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us and our engineering teams are growing fast in some of the hottest state of the art fields: Deep Learning and Artificial Intelligence. If you're a creative engineer with a real passion for robust and enjoyable user experiences, we want to hear from you.
NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Observability is the convergence of the massive telemetry and analytics platforms powering Azure and everything on it, Windows and Xbox. Observability offers a portfolio of massive scale platforms and solutions to monitor the health and performance of your systems and applications across the stack (IaaS, K8s, PaaS, SaaS and all types of clients) and surface actionable insights.
Our team in the Israel R&D center, drives AIOps into all layers of the Observability portfolio by harnessing data science, ML paradigms and statistical inference deep into the technology and customer facing experiences. A few examples are Dynamic Alerts, Smart Alerts, Smart Detection and Smart Grouping of alerts. And there are many more internally facing magics.
Observability ingests and processes ~225 PB of data daily with a +100% growth YoY. We’re inviting you to come help us innovate and make the most out of this data.
Responsibilities
We are looking for a passionate Senior to Principal applied researcher with a strong technical background and diverse approach to solving problems. You will be working closely with Product Management and Engineering disciplines to create and deliver unique and competitive value to our customers. You will be challenged to select and apply the right paradigm for a solution out of many options at hand (machine learning, time series analysis, statistical inference, and other data science toolkits). To be successful you will need to demonstrate passion for data mining and to making happy customers at equal levels. Coding will be done in a variety of languages and mainly C# and Python.
Qualifications
- Ph.D. in Computer Sciences / Mathematics / Physics
- Programming experience (C#/Python)
- Fundamental knowledge of Machine Learning & Data Mining theory and algorithms
- Demonstrated experience in solving difficult problems connecting theory with real world impact.
- Advantage: Relevant publications in machine learning / vision / NLP / data mining conferences
- Advantage: knowledge of statistical inference theory and applications
- Team player – strong interpersonal and communications skills
Computer Vision Algorithm Engineer – Autonomous Vehicles
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.
About the Group and the Position
Autonomous vehicles are on the way of changing the way we view transportation: improving mobility, reducing car accidents and increasing productivity. Our Perception Group is develops the autonomous vehicle's ability to perceive the environment around the host vehicle. This includes high fidelity detection and tracking of both static and dynamic objects, as well as additional information of the physical world around the vehicle. That includes information on drivable area, lane configuration and traffic light status. The task is highly challenging and involves dealing with complex environments, different light and weather conditions and processing data from many sensors with different sensing modalities.
In order to provide the best solution, the group joins domains such as Artificial Intelligence, Machine Learning, Computer Vision, Sensor Fusion and Signal Processing and embedded platform development.
We are looking for experienced Computer Vision Algorithm Engineers!
What will YOU do?
- Design and implement multi-object, multi-sensor computer vision algorithms such as tracking and fusion algorithms for autonomous vehicles.
- Keep track of latest state-of-the-art research.
- Gain deep understanding of real-world problems
- Own the complete feature cycle from research to implementation.
What are we looking for?
- M.Sc. / Ph.D. in Electrical Engineering / Computer Science / Mathematics
- Experience in Computer Vision algorithm development
- Solid background in mathematics and strong analytical skills
- Extensive software skills to build and analyze performance of algorithms
- Experience in multi object tracking / temporal reasoning / sensor fusion – advantage
- Experience in python / C++ programming – advantage
Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.
Join us to do the best work of your career and make a profound social impact as a Senior Data Scientist on our Data Science team in Beer Sheba.
What you’ll achieve
Our team develops new methodologies, capabilities and tools to enable advanced modeling and statistical analysis of business data and very often, very large business data. Our Data Science team works with prospects and internal customers to prove the analytical capabilities of Dell’s technology in generating business insights from big data.
A member of our Data Science team is charged with understanding and prioritizing our business and customers’ most urgent data driven problems and opportunities and use advanced mathematical methods and models to provide answers.
You will:
- Work, under little to no supervision on tight schedule projects, with internal and external teams to understand customer requirements and develop proposals and data-driven, AI solutions to address to those requirements
- Perform end-to-end steps involved in solution development, while establishing subject-matter expertise in key horizontal or vertical themes. Steps include preliminary data exploration and data preparation steps, variable/algorithm selection, model development/validation and scoring. Horizontal themes include: Marketing Analytics, Operations Research, Text Analytics, Graph Analytics, Hadoop, etc. Vertical themes include: Financial Services, Retail/CPG, Energy, Life Sciences, etc.
- Independently develop and drive the model development lifecycle, testing of algorithms' efficacy (i.e., by applying to test/sampled data and assessing accuracy/fit/predictive strength) for differing analytical use-cases
- Develop and apply a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights to prospects and customers based on large-scale data
- Communicate and explain results and insights to business executives throughout projects’ life cycle
- Join in defining of project use-cases, scope definition, and ongoing interaction with customers and business partners to provide status updates and shares analytical insights
Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:
Essential Requirements
- 2+ years relevant industry experience / 4+ years academic experience
- M.Sc. in Computer Science, Math or related disciplines
- Experience with the data science toolbox, i.e:
- Programming and Scripting skills (C, C++, C#, Java, Python, Bash, etc)
- Big Data technologies (Apache Spark, GreenPlum DB, Hadoop, Cassandra, MongoDB, etc)
- Analytics platforms (R, SaS, Octave/Matlab, etc)
- Visualization tools (MatplotLib, ggplot, Tableau, D3, Processing, etc)
- Customer focused & Problem solving skills
- Possesses strong product/technology/industry knowledge
- Statistical analysis and mathematical skills
- Strives for professional development
Data Science Team Leader
We are looking for an analytical, articulated and results-driven manager to join PayPal’s Global Data Science team in Tel Aviv.
The team builds horizontal data science infrastructures and solutions serving all data science teams in GDS, focusing on enabling complex insights from our data by leveraging unsupervised learning techniques including large scale clustering, anomaly detection and eccentric data representations. The teams portfolio combines high impact solutions and opportunities to enable new products through R&D.
These products aim to enable incremental lifts to all GDS models & use-cases by introducing advanced ML and big data analytical techniques, including Connected components, Louvain, GBT models, LSTM auto-encoders and time series algorithms aiming to extract insights from the data which are not available in their tabular and traditional format.
Data Scientist
Discount DATA LAB is looking for a talented data-scientist.
Qualifications:
*Team-player, fast learner and delivery-oriented
*BA / Bsc degree in one of the following fields:
Mathematics, Physics, Computer Science, Statistics, Engineering, Economics or similar
*At least 2 years of practical experience in machine learning, data analysis or other algorithmic research
*Strong programming skills in Python (object oriented & functional programming)
*Excellent analytical and problem-solving skills
*Experience with modern NLP techniques – an advantage
*Hands-on experience building and deploying models – an advantage
*Working experience in large financial enterprises – an advantage
Machine Learning Scientist
The Tel Aviv Machine Learning Center is looking for data savvy professionals to join our team of data scientists. You will have the opportunity to build data products that will be used across various departments of our business to help us predict and understand our customers’ behaviour, enabling us to offer them the most relevant personalised experience.
Machine learning projects at the center cover topics such as recommendation systems, computer vision, natural language understanding, reinforcement learning and more.
As a Machine Learning Scientist, you’ll have the chance to work on exciting products and play an integral role in taking it to the next level! You’ll have the chance to collaborate closely with other developers, scientists, engineers, product managers, designers and various business stakeholders and take full ownership of your work – from the initial idea generation phase to the implementation of the final product.
You will thrive at Booking.com if you are result-focused, innovative, and with a solid quantitative background, but most of all by understanding our complex business model and the logic behind it.
B.RESPONSIBLE
- Work in a multi-disciplined team where you’ll take full ownership of turning discoveries and ideas into products through machine learning (incl. understanding product requirements, data discovery, model development and evaluation, to implementation of a full production pipeline for both batch and stream-based deployment).
- Use the model’s output to deliver both short-term commercial impact and longer-term differentiated business value and customer experience.
- Define and build proof-of-concepts to test new ideas and demonstrate their potential value to relevant stakeholders.
- Document and share the findings, and identify when these technologies can be generalised into reusable frameworks.
- Continuously evolve your craft by keeping up to date with the latest developments in ML/AI and related technologies, and upskilling on these as needed.
- Actively contribute to Machine Learning at Booking.com through training, exploration of new technologies, interviewing, onboarding and mentoring colleagues.
B.SKILLED
- At least 3 years of relevant work experience.
- Masters, PhD, or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.)
- Prior experience with classification and regression algorithms and an excellent understanding of the specifics of those algorithms. Experience with deep learning is a plus.
- Solid understanding of fundamental machine learning concepts.
- Fluency in at least one programming language, with a strong preference for Python.
- Strong working knowledge of Spark and SQL.
- Experience with putting machine learning models in production is a plus.
- Excellent English communication skills, both written and verbal; the ability to convey your message to team members and other stakeholders.
B.OFFERED
- Performance-based company that offers career advancement, and lucrative compensation, including bonuses and stock potential
- Discount on Booking.com accommodations with the “Booking Deal” including other perks and benefits
- Diverse, unique colleagues from every corner of the world
Deep Learning Research Intern
Samsung Israel Research Center (SIRC) develops cutting-edge HW and SW for Mobile, Automotive and wearable devices. Our Computer Vision algorithms are incorporated in the Galaxy S series and other Samsung products.
In search for our next big innovation we are conducting research in the fields of Computer Vision and Neural Network Optimization.
We are looking for an excellent PhD student experienced with DL and CV to conduct a research over a period of 6 months, with the target of publishing an innovative paper in a leading conference.
The intern will receive guidance and mentoring from one of our experienced researchers, building upon an existing project or kick-starting a fresh PoC.
Minimum Requirements:
– Graduate with honors from a leading university
– PhD student in EE or CS, in the field of deep learning
– 2+ years of experience in deep learning
– Previous publications in relevant fields
Top notch Machine Learning models are at the heart of Zoominfo’s abilities to extract high quality information from massive amounts of data, and quickly deliver it to our customers.
Zoominfo is heavily expanding its Machine Learning operations in Israel, and many of its models will be developed in our Raana center. The ML Infra team works closely with our Data Scientists and Product Managers, and is in charge of building the framework that will allow:
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scaling complex models and features
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Smooth & continuous delivery of models to production
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efficient monitoring of ML products
The responsibilities of this opportunity include:
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Code ML Infrastructure & Framework for Agile ML Lifecycle, MLOps and CI/CD
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Solve complex scaling challenges
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Integrate ML models into Data Processing products
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Work closely with a team of data scientists, data engineers and product managers
A successful candidate will have the following qualifications:
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Typically requires a minimum of 7-10 years in the industry
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5 years with Python
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Experience in system architecture and design
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Demonstrated Technical Leadership abilities
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Exceptional interpersonal skills with a proven ability to build productive cross-departmental relationships
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Bachelor’s degree in Computer Science or Software Engineering or related field
Nice To Have:
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Experience in big data streaming and batching processes
- Machine Learning Experience
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Experience in ML technologies like AWS SageMaker, Kubeflow, Spark, Google AI
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Advanced Degree in CS or related field
