Do you want to kick your career by working on brand new technologies and standards with global customers?
To be part of a small team with huge personal impact?
The Vision Business Unit (VBU) is a small and dedicated group in CEVA. We offer our customers the most specialized cores and algorithms to run any Computer Vision based application, including Machine Learning and Neural Networks. Areas such as Artificial Intelligence, Virtual Reality and Augmented Reality push us to deal with cutting edge technologies that our customers’ near future products require. The solutions are related to variety of markets such as Automotive, Smartphones, Drones, Surveillance and more.
The Machine Learning group at CEVA are developing algorithms that incorporate to the training stage so that Neural Networks will run better and more efficiently on CEVA’s AI cores.
Our advantage is that we hold both HW and SW development in-house. This allows us to generate amazing products and see the full lifecycle from NN inception to real world applications.
Join us to create amazing products that bring AI to everyday products.
We are looking for a talented deep learning algorithms researcher to join our Machine Learning group.
In this role, you will:
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:
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:
Localization and detection algorithms such as YOLO have changed the world by enabling a precise detection and classification in a fraction of time needed before. However it's challenging to implement those methods in a changing environment like in many industrial cases. Therefore, we will look into different techniques and methods to increase sample efficiency using prior knowledge in order to achieve a single-shot localization algorithm. During the internship you will check whether CAD information can increase sample efficiency, make better localization, and many more questions.
Our team’s mission statement:
The AI team at SparkBeyond is responsible for building and continuously enhancing the core research engine powering the SparkBeyond AI-powered automated data science and research platform. We plan, design, and perform unique research that brings our product to life, leveraging our experience in Machine Learning and AI.
We continuously strive for making significant breakthroughs, providing our clients with a best-performing, one-of-a-kind product that solves fundamental, real-world problems across countless industries and domains.
What will you do?
What will you need?
For a new startup in the field of computer vision and deep learning, a ML computer-vision developer is needed to own the development of a robust end-to-end deep learning computer vision product.
Availability is required for about 50% capacity in the next 3-6 months.
We are looking for a person experienced with SOTA computer vision deep-learning architectures, who will implement the network architecture, training and evaluation. You will be expected to participate in research and design of all stages of development, including dataset creation and up to convergence, integrating hand-crafted features, overcoming domain-specific caveats on the way until successful delivery to production.