We are seeking a sharp, hard-working and curious Deep Learning Researcher to join our fast-growing startup and help us tackle the many missions we have in front of us.
You will be critical in helping lead Trigo through the next phase of growth where you will experience unique visibility and growth opportunities that come with joining this exciting startup.
Our R&D operation is already growing significantly and fast.
Who are we?
We are Trigo Vision (www.trigovision.com)!
We are working hard towards enabling a cashier-less shopping experience. Imagine walking into a supermarket, picking up whatever you need and exiting peacefully without having to wait in a single line.
Our technology streamlines retail operations, prevents shoplifting, automates inventory control, provides invaluable retail insights and presents opportunities for new levels of customer engagement within retail environments.
Making this all work requires solving many problems ranging over various algorithmic fields spanning computational geometry, machine learning, convex optimization and more.
Thankfully we have already established a team of great people – but there are many more problems to solve.
Last year we closed a 7M$ seed round from Vertex and Hetz ventures. We have a working demo (and a real supermarket in our office) and some very interesting, international customers – along with our very own Shuferal who tagged along for the ride. Our offices (same ones with the working supermarket) are located in central Tel-Aviv. We sometimes have ice cream in the fridge.
As a DL Researcher, You Will
What Experience You Need
Nice to Have
Signals Analytics and its cloud-based data platform, Signals Playbook™, takes unstructured and unconnected external data and turns it into actionable insights for smarter product decisions. Signals Playbook™ connects disparate data collected from consumers, products, markets and technologies to help brands better align with evolving trends. Signals Analytics’ clients include Procter & Gamble, Nestle, Johnson & Johnson, Bayer and 3M. Backed by Sequoia Capital, Qumra Capital, Pitango Growth and TPY Capital, Signals Analytics is advancing the way organizations can use data to be more successful.
Signals Analytics is seeking an experienced engineer to join our Data Analytics team. Our team develops natural language algorithms and machine learning based solutions, boosting our domain-expert Knowledge Bases. With our highly-motivated, top-notch engineering group, in a fun culture, fast-growing company you will:
At Armis, we utilize data science algorithms and process massive amounts of data in order to deliver
the product’s core features.
Our data science team is currently expanding in order to do much more and tackle bigger
We are looking for an experienced and creative Data Engineer. A Data Engineer that understands
and loves data science and is eager to transform complex algorithms to production ready distributed
What you will be dealing with:
Experience with the following is a plus:
We are looking for an Algorithm Developer to join our efforts. As an Algorithm Developer you will work tightly with the CTO to invent new approaches and technologies.
You will develop algorithms in the following areas:
Working with InSoundz
The group handles multidisciplinary tasks starting from real time processing, algorithms development and all the way to providing backend infrastructure for integration with the customer. Each R&D team member is responsible for inventing, building, implementing and supporting InSoundz products for a diverse set of customers.
Our vision is to build innovative products that inspire and enable our customers to bring content never heard before.
Advanced Analytics is the leading group at Intel that creates state-of-the-art machine learning and artificial intelligence (AI) solutions. Our group is a competency center for machine learning & big data at Intel, we’re one of the biggest Data Science organizations in Israel. We deliver internal and external solutions/products that can create a competitive advantage for Intel.
We have the dream job for Data Scientists: we have many huge datasets; we’re working in diverse and exciting areas of practice: from “classical machine learning”, through Deep learning, NLP, signal processing, to Reinforcement and online learning, and more; We’re using variety of technologies spanning all best-in-class range (e.g.: Python, Spark, Scala, Kuda, Tensor-Flow, and more); We’re always staying up-to-date with the state of the art in the relevant domain and bring the best instructors and courses; We conduct applicable research and present our work in leading conferences in Israel and the world, as well as organizing the Data Science Summit conference;
It is no wonder that we hire only the best for this position!
If you’re a data scientist in heart and soul, who want a job where you get fascinating problems to solve, always learn new skills and tools, who want to work as part of a brilliant and engaging project team throughout the project's life cycle and develop algorithms using Machine Learning and Data Mining techniques, system design and coding in variety of tools and languages – send us your CV today.
Inside this Business Group
Intel's Information Technology Group (IT) designs, deploys and supports the information technology architecture and hardware/software applications for Intel. This includes the LAN, WAN, telephony, data centers, client PCs, backup and restore, and enterprise applications. IT is also responsible for e-Commerce development, data hosting and delivery of Web content and services.
Bsc, M.S. or Ph.D. in Computer Science, Mathematics or a related field.
Academic background in deep learning, natural language processing, machine learning
2+ years’ experience in Deep Learning algorithms
2+ years’ experience with DL frameworks (e.g. TensorFlow, PyTorch, Mxnet, Caffe, etc.)
Well-versed and up to date with the latest SOTA NLP techniques and models.
Riskified is the world's leading eCommerce fraud-prevention company. We use cutting-edge technology, machine learning algorithms, and behavioural analytics to outsmart eCommerce fraud and help our merchants grow. Riskified has reviewed hundreds of millions of transactions and approved billions of dollars of revenue for merchants across virtually all industries, including a number of Fortune 500 companies.
The Core Data Science team is responsible for the core algorithms and models used at Riskified. Data scientists in the team use a wide variety of advanced techniques to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory and more). In addition, the team designs and develops the model training framework, which is used by other teams to train and evaluate machine learning models at Riskified.
As a data scientist in the core data science team, you will be a valuable member of an innovative and technical data science team working on various problems.
What should you bring to the table?
We are looking for an experienced Data Scientist who can leverage and develop innovative machine learning, data and text mining technologies, for solving problems within a wide scope.
The Data Scientist will work on highly complicated challenges in the e-commerce industry. Take a significant part in the growth process of one of the fastest growing marketplaces, working with developers, analysts, product managers and business owners on growth opportunities and new ideas. Candidate should have a strong background and experience in machine learning pipeline going through business understanding, data exploration, feature engineering, model building, performance evaluation, testing and production deployment.
When you join Fiverr, you’ll become an important member of one of the hottest startups in the world. From day one you’ll be challenged to take risks, think big, and make an impact while getting lots of love and support from the team. A few of the perks you’ll receive include: competitive salary, an awesome work environment with a company that loves its employees, and the eligibility to participate in Fiverr’s stock option plan.