Noogata is the leader in no-code artificial intelligence (AI) designed from the ground up for citizen data analysts. We’re democratizing AI for enterprises and making it accessible to the common business user.
Founded in 2019, backed by world-class VCs and offices in Tel Aviv and NYC, Noogata is one of the fastest-growing and most exciting companies in the Enterprise AI space.
We are looking for a ML data engineer with a passion for building data-driven enterprise products. You will be part of our data science and engineering teams to bring models and end-to-end AI-driven solutions into production.
Responsibilities
Be part of a startup company: Help set priorities and make design decisions based on your experience and insights.
Requirements
Advantages
Noogata is the leader in no-code artificial intelligence (AI) designed from the ground up for business users. The company provides a modular, expandable platform that is ready for immediate use, thanks to pre-built, domain-focused blocks that "speak the language of business" and target unique, mission-critical use cases. Noogata delivers the benefits of best-in-class AI for maximum business impact without the complexity and costs of having to develop it or maintain the AI solutions. Founded in 2019 and headquartered in Tel Aviv, privately-held Noogata is backed by Team8 and Skylake Capital. To learn more, visit https://www.noogata.com/.
We are looking for an experienced Data Analyst. In this role, you'll be a part of our Data team, working closely with data scientists, data engineers and product managers To help us gain a better understanding and extract more insights from our data and models.
Requirements
Responsibilities
Noogata is the leader in no-code artificial intelligence (AI) designed from the ground up for citizen data analysts. We’re democratising AI for enterprises and making it accessible to the common business user.
Founded in 2019, backed by world-class VCs and offices in Tel Aviv and NYC, Noogata is one of the fastest growing and most exciting companies in the Enterprise AI space.
We are looking for experienced, savvy, data scientists to lead and execute machine learning projects across multiple domains (demand forecasting, NBO, content classification, …) and throughout their lifecycle – from early feasibility research to productization and ownership of models.
Responsibilities
Requirements
Big Advantage:
At Booking.com, data drives our decisions, Technology is at our core, and innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you make. The journeys you take. The sights you see. And the food you sample. Through our products, partners and people, we can empower everyone to experience the world.
We’re looking for a Machine Learning Engineering Manager to join our Ranking team in Tel Aviv.
Ranking is our team in charge of the search ranking engine that powers all of Booking’s customer destination search queries. The team manages a state-of-the-art system that can scale and serve a large number of requests with minimal latency. This includes data processing, model training, evaluation and serving, and marketplace consideration. As a Machine Learning Engineering Manager, you will lead all the ML and data infra work and aspects of the Ranking team, ensuring we use SOTA methodologies and best practices to power our Ranking engine.
In this role, you will manage a team of ML & Data engineers, tackling challenges on large scale ML systems.
As a technical manager, you should be passionate about technology, keep up to date with recent breakthroughs in the field, define and shape the team’s ML roadmap, and not be afraid to get your hands dirty with code when needed.
B.Responsible
You will be part of the Ranking ML & Data infra team that builds the ML foundations to power ML models serving millions of customers every day, you will manage the day to day work of the team, be responsible for the short term and long term planning of the team alongside the PMs and responsible for promoting innovation within the team. As the ML manager of the team, you are expected to be the focal point for all technical aspects, make sure your team members deliver on their tasks, and work together with other stakeholders to define and shape the roadmap of our products. You will work independently and will also be responsible for making technical decisions within your team.
When it comes to management, your expertise in handling people will motivate and inspire them to reach outstanding success! You should have experience in developing people. You will mentor and coach your team while working closely with a Product Manager.
Your responsibilities include:
B.Skilled
Your skills include:
B.Offered
MISTRIX is an early stage startup that develops hyper-personalized experiences on beauty e-stores. Using our cutting edge AI technology we help retailers to create a better shopping experience for their consumers. We are looking to expand our R&D team. By joining us, you will be able to make an immediate impact and play a critical role in bringing the company’s vision to life.
We are looking for a highly-skilled algorithm developer.
Job description:
As an algorithm developer in MISTRIX, you will be initiating, developing and optimizing innovative technologies and executing projects using advanced cutting-edge machine learning methods in the fields of computer vision, computer graphics, generative models, geometric learning and neural rendering.
Roles and Responsibilities:
Required Qualifications:
At Booking.com, data drives our decisions, Technology is at our core, and innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you make. The journeys you take. The sights you see. And the food you sample. Through our products, partners and people, we can empower everyone to experience the world.
We’re looking for a Machine Learning Manager to join our Content Intelligence team in Tel Aviv.
We build an AI platform that understands all aspects of our content (images, reviews, etc.) to provide a personalized experience for our customers.
In this role, you will manage a big team of ML scientists & engineers, tackling challenges in Computer Vision, Natural Language Processing and ML engineering.
As a technical manager, you should be passionate about technology, keep up to date with recent breakthroughs in the field, define and shape the team’s ML roadmap, and not be afraid to get your hands dirty with code when needed.
B.Responsible
You will be part of the Content Intelligence team that builds the Content Intelligence Platform by consuming millions of images and textual inputs every day, and then enriching it with ML capabilities. Eventually, these will serve downstream applications and personalize our customers' experience (think of a way to choose and surface the right images and reviews when customers book their next vacation).
As the ML manager of the team, you are expected to be the focal point for all technical aspects, make sure your team members deliver on their tasks, and work together with other stakeholders to define and shape the roadmap of our products. You will work independently and will also be responsible for making technical decisions within your team.
When it comes to management, your expertise in handling people will motivate and inspire them to reach outstanding success! You should have experience in developing people. You will mentor and coach your team while working closely with a Product Manager.
Your responsibilities include:
B.Skilled
Your skills include:
B.Offered
Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.
Bigabid is an innovative technology company led by data scientists and engineers devoted to mobile app growth. Our proprietary ad platforms powered by machine learning are the outcome of that devotion.
We deliver valuable results and insights for a fast-growing clientele of major app developers using elite programmatic user acquisition and retargeting technologies. Our ever evolving, state-of-the-art machine learning technology analyzes tens of TB of raw data per day to produce millions of ad recommendations in real-time.
We are looking for an experienced data scientist who is passionate about exploring complex data sets, drawing meaningful insights, and building high-quality real-time data products that compliment our robust arsenal of industry-leading technologies.
Bigabid is a fantastic place to work. We reward talent. Our employees support each other to advance individually and as a team. Most of all, we exceed our client’s expectations while still having fun.
Key Responsibilities:
At Alexa Shopping, we strive to enable shopping in everyday life.
We allow customers to instantly order whatever they need, by simply interacting with their Smart Devices such as Amazon Show, Spot, Echo or Dot. Our Services allow you to shop, no matter where you are or what you are doing, you can go from 'I want that' to 'that's on the way' in a matter of seconds. We are seeking the industry's best to help us create new ways to interact, search and shop. Join us, and you'll be taking part in changing the future of everyday life.
Alexa Shopping is looking for an experienced Data Scientist to be a part of a team solving complex natural language processing problems and customer demand insights (including segmentation analysis and personas building using big data, ML and potentially AI). This is a blue-sky role that gives you a chance to roll up your sleeves and dive into big data sets in order to build simulations and experimentation systems at scale, build optimization algorithms and leverage cutting-edge technologies across Amazon. This is an opportunity to think big about how to solve a challenging problem for the customers and understand their requirements for products.
The ideal candidate will have extensive experience in Science work, business analytics and have the aptitude to incorporate new approaches and methodologies while dealing with ambiguities in sourcing processes. Excellent business and communication skills are a must to develop and define key business questions and to build data sets that answer those questions. You should have a demonstrated ability to think strategically and analytically about business, product, and technical challenges. Further, you must have the ability to build and communicate compelling value propositions, and work across the organization to achieve consensus. This role requires a strong passion for customers, a high level of comfort navigating ambiguity, and a keen sense of ownership and drive to deliver results.
At Alexa Shopping, we strive to enable shopping in everyday life.
We allow customers to instantly order whatever they need, by simply interacting with their Smart Devices such as Echo or Fire TV. Our Services allow you to shop, no matter where you are or what you are doing, you can go from 'I want that' to 'that's on the way' in a matter of seconds. We are seeking the industry's best to help us create new ways to interact, search and shop. Join us, and you'll be taking part in changing the future of everyday life.
The Alexa Shopping group is seeking talented and experienced Machine Learning engineers to design and develop Natural User Interface (NUI) shopping experiences and algorithms.
You'll have the freedom (and encouragement) to experiment, improve, invent, and innovate on behalf of our customers. You will have an impact on Amazon's new devices and the way shopping is done in the area of IoT. And finally, you will have the satisfaction of being able to look back and say you were a key contributor to something special from its earliest stages.
About NCR
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!
Responsibilities
Must have
Nice to have