A top-notch data-driven company. Our Data Science group consists of ~50 people, of which there are 20+ data scientists and others (engineering, curation, and labeling) that help us make our projects successful and impactful for Wix.
We’re looking for a Data Science team leader to lead our Forecasting team. The team plays an essential part by providing revenue predictions for a fast growing business of over $1B in revenue. The forecasting team develops time series and other statistical models which predict many of wix’s revenue streams.
The ideal candidate should have at least 5 years of experience in data science, machine learning, and/or deep learning. You also have a deep understanding of classical ML & DL algos for a wide spectrum of problems and domains and are familiar with time-series projects
You have the technical know-how to advise team members, the managerial skills to prioritize and advance projects, and the interpersonal skills to communicate data science to non-technical management. You also have a practical machine learning experience with Python. You’re willing to work hands-on, potentially working on your own projects while managing the team.
You have profound business acumen and are able to communicate model’s internals and externals to management, while also incorporating external feedback into the models.
Loora is reinventing the way we learn languages, making it possible for anyone to have their own personal fun and engaging AI English tutor.
Our innovative and unique consumer experience relies heavily on the state-of-the-art in domains such as text generation, dialog, question answering, grammar correction and knowledge-grounded LMs.
We are looking for an applied Deep Learning Researcher to join our growing core team. You will lead projects from research to production, solving real-world problems while pushing the limits of conversational AI. Join us now to truly impact the product we're building!
Even better if you have:
The Foundations of Deep Learning Lab at Tel Aviv University's School of Computer Science is looking for excellent research students to help develop a mathematical theory behind deep learning.
Deep learning is experiencing unprecedented success in recent years, delivering state of the art performance in a multitude of application domains. However, despite its extreme popularity and the vast attention it is receiving, our formal understanding of deep learning is limited. Its application in practice is based primarily on conventional wisdom, trial-and-error, and intuition, often leading to suboptimal results (compromising not only effectiveness, but also safety, privacy and/or fairness).
The Foundations of Deep Learning Lab at Tel Aviv University's School of Computer Science is developing a mathematical theory behind deep learning, with the aim of shedding light on existing empirical findings, and more importantly, leading to principled methods that bring forth improved performance and new capabilities. The lab is headed by Dr. Nadav Cohen, and regularly publishes in top tier machine learning venues (e.g. NeurIPS, ICML, ICLR). Its research is highly mathematical, but also includes extensive empirical evaluations that support theory. For more information please visit: https://www.cohennadav.com/.
We are looking for:
You, an excellent mathematically inclined research student, to join us, and help crack open the black box of deep learning. Typical entry to the lab is at MSc level, with the option of pursuing a subsequent PhD if there is mutual interest. Entry at PhD level is also possible, but only in exceptional cases. If interested in applying, please verify that you meet the criteria below, and if so, include in your application CV and grade transcripts.
Prospective MSc students:
* BSc from a well-known university, with GPA of at least 95.0/100 (or equivalent), in one of the following disciplines: (i) Mathematics; (ii) Mathematics & Computer Science; (iii) Mathematics & Electrical Engineering; or (iv) Mathematics & Physics.
* Successful completion of introductory course in machine learning (Tel Aviv University's course #0368323501 or equivalent)
* Solid Python programming skills
* Willingness and ability to devote full-time to research
* High degree of independence, work ethic and creativity
* Experience with deep learning frameworks (e.g. PyTorch or TensorFlow)
* Professional (industry) experience in machine learning
Prospective PhD students:
In addition to the requirements above, applicants interested in joining at PhD level are expected to meet at least one of the following:
* Proven track record in machine learning research (with publication in top-tier venues)
* Advanced coursework and research in either of the following: Statistics, Optimization, Dynamical Systems, Numerical Analysis, Quantum Physics or Quantum Computing.
At Quris Technologies Ltd. (TLV) we are developing the most advanced technology that will shape the future of drug discovery and clinical trials success prediction. In short, given a drug, we collect data from human cells and use it to predict clinical trial success. This is an opportunity to work closely with the top biologists at the edge of today's bio-tech.
We are seeking a sharp lead data scientist that will help us gain valuable insights from our proprietary data and shape with us the future of drug discovery and clinical trials success prediction.
You should have a strong statistical analysis capability as well as a solid understanding in Machine learning and Deep Learning.
This is a magnificent chance to join a leading technological company from an early stage and make a true impact.
Helping retailers and consumers interact is what we do – and what we’ve done for 130 years. NCR’s portfolio of retail solutions enables seamless consumer interactions, whether in the store, on the go or at home. Our innovative solutions address retailer needs in multiple industries from grocery to general merchandise to convenience stores and specialty retail including POS software, hardware, kiosks, digital signage, self-checkout, services and more.
What are we looking for?
We are looking for an experienced Senior Data Scientist to join our fresh R&D team. If data and statistics are your breakfast, algorithms are your dinner, and you’re passionate about solving complicated real-world challenges, deliver impact, and investigating human phenomena – please reach out!
Nice to have
Riskified empowers merchants and shoppers to realize the full potential of eCommerce by making it safe, accessible, and frictionless. Our global team helps the world’s most-innovative eCommerce merchants eliminate risk and uncertainty from their business. Merchants integrate Riskified’s machine learning platform to create trusted customer relationships, driving higher sales while reducing costs. Riskified has reviewed hundreds of millions of transactions and approved billions of dollars of revenue for global brands and fast-growing businesses across industries, including Wayfair, Wish, Peloton, Gucci, and many more. As of July 29th, 2021, Riskified has begun trading on NYSE under the ticker RSKD.
The Data Sources team is responsible for exploring and leveraging the various data sources that make Riskified’s models and products possible. The team proactively explores data sources that can contribute new information and value to our models, feature engineer the raw data, and evaluates the expected value from these sources by augmenting our production models and testing for performance lift. These data sources include 3rd party vendors, open source data, our internally developed beacon and any additional information that may be provided by our customers.
The team's data scientists are experts at exploratory analysis, can quickly dig into new noisy unstructured big data that has barely been touched before, and creatively manipulate it for model improvements.
We are looking for a team lead to join our Applied Research group in Tel-Aviv.
The applied research group is responsible for algorithmic and machine learning solutions at the heart of Fabric’s product. Examples include task time estimation, resource allocation optimization, demand prediction, and pathfinding algorithms for a multi-robot system. The group is growing and is now looking for a team lead to join.
As a team lead, you will define the roadmap for a team of applied researchers, and lead its implementation. The team will consist of 2-6 researchers (depending on the candidate's managerial experience), delivering both analyses (projects whose outcome is an insight) and working software services in production. The team lead role is expected to be ~50% hands-on (but may vary, depending on managerial experience and the size of the team).
● Define a roadmap for the team (working closely with the Product organization).
● Lead the team in executing its roadmap, delivering analysis results and working software services in production.
● Own the team’s working processes: sync with stakeholders, design reviews, code reviews, deployments, retrospectives.
● Mentor, guide, and motivate the team.
● MSc or higher in CS, industrial engineering, or other relevant quantitative fields.
● At least 7 years of relevant experience in research, data science and algorithms development, and familiarity with a variety of tools within these disciplines.
● Experience as a team lead or a tech lead.
● Good software engineering skills and proficiency in Python.
● Excellent collaboration and communication skills, and ability to take part in diverse cross-functional teams.
WalkMe is looking for an Algorithm Developer , which is both hands-on and an ace problem solver to join our amazing DeepUI team.
We are developing WalkMe’s revolutionary runtime engine and transforming the online experience for hundreds of millions of users. Our proprietary AI-based technology is bringing the world's leading digital adoption platform to the next level by understanding and interacting in real time with graphical user interfaces at a human level. We are looking for people who are passionate about leading technology to the extreme. If you are striving to develop an innovative product, make an impact, and work with the industry’s brightest talent as part of one of the fastest-growing and successful startups around – WalkMe is where you want to be
What will you actually be doing?
What should you bring to the table?
WalkMe, the leader in Digital Adoption, provides the world's first Digital Adoption Platform (DAP), designed to help enterprises guide and engage end-users through an array of websites and applications.
WalkMe was recently ranked by Dun & Bradstreet as 1 of the TOP 20 companies to work for in Israel We were recognized by Deloitte as the 6th fastest growing Software company in the world, which means our employees have the opportunity to grow with us.
We raise our own leaders and encourage employees in all ranks to take initiative and own their work. You will get the chance to work with Israel's top talent.
Our warm startup environment offers the best supplies, food, fruits and swag to keep you happy and comfortable.
You can join our soccer team, band, weekly card nights, FIFA tournaments, karaoke nights and other various fun and spontaneous activities.
That’s just the beginning. We can go on and on, but.. apply to find out more
XACT Robotics® is a privately held, early-stage company focused on the advancing the field of radiology by developing the world’s first and only hands-free robotic solutions that can significantly improve targeting accuracy, efficiency, and consistency in percutaneous radiology procedures.
At XACT, we embrace the philosophy of collaboration, tenacity, and extreme ownership. Our family culture empowers and inspires as we partner, develop, and execute meaningful technologies to make a difference in the lives of patients. A career at XACT Robotics is more than a job, it’s personal. Employees have passion, drive, and a winning spirit that allows for a fast-paced environment that is effective, empowering and fun.
Qualifications & Requirements
About The Position
Iguazio is looking for a Data Science and Engineering Team Leader to be part of our all-star CTO innovation team and play a critical role in our mission to help our enterprise customers bring their data science to life.
The CTO innovation team is responsible for bringing into play their data science, scientific knowledge and engineering skills contribute to the development and delivery of our machine learning automation solution.
As Data Science and Engineering Team Leader you will be heading data-science implementations and feature engineering modules in a variety of fields (ML, DL, NLP, etc.) for Iguazio open-source ML automation framework (MLRun); lead all data science aspects of our customers’ engagements: complex problem solving, building demos and major customer POC projects.
What You’ll Do
You must be passionate about data science, versatile and flexible, team player, with a strong can-do mentality. Be a people person with great communication, and ability to work in a fast-paced and dynamic working environment.
Does This Describe You?
About the Company
Data science is too important to today’s enterprise to be held back by delays and inefficiencies.
We’re building a faster, easier, and smarter way for data science to flow seamlessly from raw idea to real-world impact. This is data science brought to life.