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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

  • Perform end-to-end research to production workflow; we design and build our models, train them and push them into production.
  • Participate and lead cutting edge research to develop solutions for real-world problems that don’t admit an “off-the-shelf” solution.
  • Work with an extremely strong Deep Learning team.

What Experience You Need

  • Be a team player in the full sense of the word. We brain storm, solve problems together and enjoy what we do.
  • 3+ years of tackling machine learning problems of some kind.
  • Research-oriented education in machine learning/computer vision (e.g. MSc/ Ph.D.) – or equivalent industry/military experience.
  • Familiarity with at least one leading deep learning platform (MXNet, PyTorch, TF/Keras).
  • Strong programming skills with Python.

Nice to Have

  • Specific experience with employing deep learning for computer vision tasks.
  • Existing industry experience in product-oriented research.

NLP Engineer

Signals Analytics

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:

  • Follow software engineering, agile methodologies and data engineering best practices
  • Be a major contributor in shaping our engineering practices, innovation and culture
  • Work closely with other teams to help create new, innovative, NLP/ML solutions
  • Work with our Knowledge Engineering and Product teams to define requirements and translate those into well designed algorithmic research and solid software solutions
  • Keep up to date with trends and new technologies & processes
  • Work in an agile environment – fast research, development and deployment cycles enabling immediate feedback from our Knowledge Engineering teams.

Requirements:

  • M.Sc. or higher in Computer Science / Statistics / Mathematics
  • At least 3 years experience in research and development of statistical NLP solutions in the industry, from conception to full production code.
  • At least 5 years experience of software design and development, implementing algorithm-based solution frameworks that are extensible, robust, scalable and high-performance.
  • Proven knowledge of statistical NLP / Machine learning techniques for processing textual content to provide topic modeling, named entity recognition, sentiment analysis, clustering, classification.
  • Semantic Modeling technologies (Taxonomies, Ontologies, Knowledge Graphs, RDF, OWL, SPARQL)
  • Strong Python/Java/Scala Development skills with the ability of developing large scale solution frameworks
  • Experience with Python/Java ML/NLP packages and tools (Stanford CoreNLP, Gate, Apache Mahout, Spark ML/NLP, Spacy, etc.)

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
challenges.
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
applications.

What you will be dealing with:

  1. Implementing complex Machine Learning algorithms running on massive amounts of network
    data stored in Data Lake architecture.
  2. Working with cutting edge big data technologies in Python and AWS environment.
  3. Working with the best software engineers, data scientists and data analysts with the mission
    to deliver useful, insightful data to our clients.

Requirements:

  • 5+ years of experience in Python or Scala
  • Hands-on experience developing applications using Spark
  • Autodidact and self-motivated
  • A true team player with strong communication skills

Experience with the following is a plus:

  • Implementing Machine Learning algorithms using PySpark

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:

  • Super high resolution beamforming schemes
  • Audio DSP
  • Acoustical array calibration
  • Acoustic propagation simulation

Qualifications

  • M.Sc / PhD in CS, EE, or similar
  • Mathematical skills – Linear Algebra, DSP and statistical analysis
  • Experience with data acquisition, analysis, and statistical methods
  • 2+ years of experience with algorithms development in Python, Matlab, R or similar.
  • Familiarity with C or C++
  • AI ,  Machine Learning – advantage

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.

Data Scientist

Bizzabo
As our first Data Scientist, you will lead our effort to explore, innovate, create and productize our unique data set of conferences and events using cutting edge ML models. We are looking to provide unique insights and values to our customers by providing our customers the ability to create personalized experience for each attendee.
Bizzabo’s Event Success Platform enables in-person events to deliver unique attendee experiences through intelligent and intent-based personalized engagement. We help companies measure, manage and scale events towards key business outcomes, empowering every organizer, marketer, exhibitor, and attendee to unleash the power of professional events. Bizzabo powers events for brands like Forbes, Hubspot’s INBOUND, Dow Jones, Docker, Bank of Ireland and Electronic Arts. The company was founded by Boaz Katz, Alon Alroy and Eran Ben-Shushan, and has more than 115 employees in its New York and Tel-Aviv offices.

WHAT YOU’LL BE DOING:

    • Take an active part in building our data science offering and models around NLP, Recommendations and more as part of our Data team
    • Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithms to solve complex problems
    • Partner with our Product teams to provide value to our customers

WHAT YOU WILL GET:

    • Full ownership
    • Opportunity to build and lead Bizzabo ML initiatives
    • Be creative. Build, innovate and explore.
    • Play an important part at our product development

WHAT YOU HAVE:

    • B.A, M.Sc. or PhD. in Computer Science, Mathematics, Engineering or a related field
    • 3+ years of experience as a data scientist
    • Knowledge of a variety of machine learning techniques (predictive modeling, unsupervised learning, natural language understanding, text classification) and their real-world advantages/drawbacks.
    • Experience with statistical tools – R, Python, etc.
    • Experience with BI tools – Looker or similar
    • Experience with SQL, Big Query Ability to guide, teach and lead
THE BIZZABO COMMUNITY:
At Bizzabo we believe that culture is more than just happy hour and a ping pong table (though we do love a good ping pong tournament), we believe that culture is everything we do and how we do it. Our values are what help to guide us in our interactions with each other, our customers, and anyone who crosses paths with Bizzabo. Bizzabo fosters an environment of communication and trust. We don’t just offer the opportunity to share ideas, we encourage you to own your ideas and bring them to fruition.

Job Description

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.

Qualifications

  • MSc/PhD in Computer science/ Software engineering/ Electrical engineering/ Statistics /Information technology /Industrial engineering
  • Academic experience with ML algorithms and techniques
  • Work experience with ML algorithms and techniques – advantage
  • Curiosity and endless desire to learn and improve
  • Excellent analytical and learning skills
  • Excellent communication skills (in English: written and verbal)
  • Passion for solving intricate business problems using data science
  • Deep understanding of statistics and optimization techniques – advantage
  • Proven experience in Matlab/R/Python

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.

NLP Research Engineer

Legal Automation
Legal Automation is an exciting, startup that helps legal firms and insurance companies to automate and leverage their data in innovative ways. We are recently locked our fund round and already working with a few big clients.
This is a unique opportunity to jump into an exciting and promising early-stage startup.  
 
We’re looking for experienced top-notch Data Scientists and Machine Learning experts to help us build our core algorithms and to develop state of the art NLP engines. In this role, you’ll work on huge, unique and not publicly available text corpus, develop AI-based solutions for complex problems and integrate your algorithms into our products.
 
What You’ll Do?

* Build NLP/ML models at the heart of our products
* Build infrastructure to support NLP/ML modeling, experimentation, and deployment
* Take ownership of NLP/ML trainer tools and data processing pipelines
* Brainstorm and prototype algorithmic improvements
 

Requirements:

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.

Data Scientist

Riskified

About Us

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.

About the Role

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 You'll Be Doing

  • Design algorithms to challenging problems
  • Build decision making models to optimize the performance and coverage of our ensemble of classifiers
  • Work with Riskified’s Analytics team to model fraud detection inference and prediction
  • Collaborate with various teams within Riskified to enhance processes and expedite model development life-cycles
  • Mentor the Analytics team on research tasks
  • Develop models and visualizations to help identify fraud ring attacks
  • Monitor classifier and model performance using visualizations

Qualifications

  • At least 2 years experience as a Data Scientist in the industry
  • M.Sc/Ph.D in exact sciences
  • Ability to write clean and concise code, ideally in R or Python
  • Creative thinker with a proven ability to innovate through data exploration and application of non-trivial solutions
  • Solid understanding of statistics and applied mathematics
  • Experienced with data science best-practices
  • Dedication and persistence when it comes to monitoring and improving performance after deployment
  • Good communication skills, ability to clearly explain complex concepts
WalkMe is looking for a Machine Learning Developer, which is both hands-on and an ace problem solver to join our elite algorithmic team. We are developing a system that can understand graphical user interfaces at a human level. Come make history with us!
We are looking for people who look at the world differently, people who are passionate about leading technology to the extreme. If you are passionate about developing an innovative product, making an impact, and strive to 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?
  • Develop and apply advanced algorithms and Machine Learning to the exciting and rapidly evolving domain of GUI perception
  • Take part in creating and using one-of-a-kind dataset
  • Implement state-of-the-art solutions for never-before-solved problems
  • Advance the world one step closer to Artificial General Intelligence

What should you bring to the table?

  • BSc in Computer Science from a leading academic institute (advanced courses or a MSc in a related field are a major plus)
  • Experience in JavaScript and Node.js, AWS
  • 2+ years of experience in Full Stack web development and implementation of algorithms related to one or more of the following fields: graphs and networks, natural language processing, machine learning
Why WalkMe?
WalkMe was recently 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, innovate and take an active role in the company's success!
CHECK OUT OUR OFFICE CULTURE:

The Position

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.

Responsibilities

  • Work closely with various departments in the company to provide advanced Data Science solutions end to end.
  • Independent research and innovation in new content and technological domains.
  • Use advanced NLP techniques to better understand various text-related aspects in the marketplace.
  • Take leading role in projects such as fraud and anomaly detection, online campaigns optimization, real-time predictions, handling live streaming data, LTV forecast, users segmentation and personalisation, exploration-exploitation problems, etc.

Requirements

  • MSc in Computer Science/Statistics/Engineering or related field with focus on applied statistics, AI, machine learning, or related fields.
  • 3+ years of experience working with predictive and probabilistic models, clustering algorithms, classification models and time series techniques. Preferably in production environment.
  • Proven record for successful implementation of translating business requirements into a technical solution.
  • Team player, Ability to handle several tasks simultaneously.
  • Experience with modern programming languages. Strong knowledge in Python and SQL/NoSQL databases.
  • Spark and Big data technologies experience – an advantage.
  • Experience with e-commerce – an advantage.

Benefits

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.

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