GKI Group is looking for a Computer Vision Algorithms Engineer. As a Computer Vision Algorithms Engineer, you will take part in the development and implementation of new Computer Vision and Machine Learning technologies.
So, if you’re an experienced Data Scientist/AI Researcher/Computer Vision Engineer, Join our team and help the creation of a life-changing technology that will assist millions of people worldwide.
What are we looking for:
It will also be great if you have:
The NLP team is working with Customer Success (CS) Speech & Text, to bring the voice of the customer to decision-makers, by listening to the Customer calls in order to identify what actions are needed to help our customers, and how to better run our business.
We are helping CS experts and experts’ managers by automating the call summarization process, as well as providing expert metrics and coaching insights to improve our CS service.
Leading the first project which is the flagship of the team. It has the highest data volume (100K calls/day, about 400GB). The project is in production.
The next stages in the roadmap:
How you’ll succeed
Come join Intuit’s Smart Products and Insights data science team as a Staff Data Scientist. The team is a data science team in a growing domain, focusing on one of Intuit’s strategic goals, designing and building a new and exciting customer-facing, data science-based AI+ML features to help small businesses to thrive.
For this growing domain within Intuit, we are looking for a fully hands-on Data Scientist; a true entrepreneurial spirit, and a team player; an individual with great business acumen and passion to explore, define, and solve important customer problems.
How you’ll succeed
WSC Sports is the world’s fastest-growing sports-tech company, the developer of AI-based automation solutions for sports content creation and distribution, automatically and in real-time.
Working with Great people in an awesome environment, using cutting edge technologies (video editing, AI, data, and sports- altogether!) with the opportunity to influence innovative products for NBA, Bundesliga, FIBA, Fox Sports, and other sports giants – are only part of the things WSC Sports has to offer!
What you’ll do:
What you’ll need:
Nexar-powered dash cams enable new vision-based applications for better driving. When drivers pair Nexar-powered dash cams with the Nexar app, they join a network that powers new applications for driving and seeing the world. Using anonymous, aggregated data captured from this network, Nexar has developed a portfolio of vision-based data services for public and private sector partners to make roadways safer and more efficient. For automotive companies, dash cams are a gateway to a new era of connected services and new killer apps for drivers, from finding a parking spot to vision-based services.
That’s where you get into the picture. We are looking for smart, passionate, and mission-driven people to bring into our growing team, and help us meet the scale and opportunity in front of us.
We’re looking for a top notch deep learning researcher to help us shape the future of mobility and push the limits of AI.
We’re looking for an experienced data scientist with a strong background in modeling and model evaluation to help us develop and optimize our core algorithms for AI Assurance. Superwise’s solution offers practical capabilities to monitor ML models and gain insights into their behavior in a live production environment. Our mission is to help data science teams to scale their AI effectively.
As a data scientist you’ll develop and optimize algorithmic solutions for complex, real-world problems in a wide variety of use cases like models performance management, optimization, anomaly detection, bias detection, explainability and more, across multiple industries (fintech, marketing, gaming, etc.). You will also take a critical part in our thought leadership efforts by initiating and collaborating on pieces of content and other articles to help educate the data science and MLOps community.
Nice to have:
Vianai is hiring a data scientist to join our team and take part in the design and development of a business action optimization platform based on causal ML and reinforcement learning.
This is a unique opportunity to play an early, significant role in building an impactful product, in a positive and challenging environment.
You will join an exceptionally strong team from the industry and the DS community including access to most F500 companies and ample funding.
What you’ll do:
You’re perpetually curious. You’re excited about new ideas and research and about applying them to make an impact. You have excellent hands-on data exploration and coding skills.
You’re independent as well as a team player and you’re looking forward to collaborating with customers and colleagues.
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.
Riskified is the AI platform powering the eCommerce revolution. We use cutting-edge technology, machine-learning algorithms, and behavioral analytics to identify legitimate customers and keep them moving toward checkout. Merchants use Riskified to increase revenue, prevent fraud, and eliminate customer friction. Riskified has reviewed hundreds of millions of transactions and approved billions of dollars of revenue for merchants across virtually all industries, including Wish, Prada, Aldo, Finish Line, and many more. We're privately funded and VC backed, and our recent Series E round raised $165 million with a valuation in excess of $1 billion. Check out the Riskified Technology Blog for a deeper dive into our R&D work.
The Research and Data Science department is focused on bringing value to Riskified through the development of algorithms and analytical solutions. As a data scientist in the research department, you will be a valuable member of an innovative and technical data science team working on various problems. The department uses a wide variety of advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more).
The Chargeback Algorithm team is responsible for the Research behind Riskified’s core product. The team uses versatile methods (such as classification, clustering, ensembles) to optimize the performance of our models, and develops flows to support operational model training / validation processes and monitoring. We work in big-data settings (e.g. spark, kafka, etc.) using state-of-the-art environments (databricks). We are responsible for the design, research and development of these tools, hence part of our work includes writing production code.
We are a fast-growing and dynamic startup with 600+ team members globally. We value collaboration and innovative thinking. We’re looking for bright, driven, and passionate people to grow with us.
Some of our Tel Aviv Benefits & Perks: