NLP

We believe that for Financial Institutions, personalization is key to increased customer satisfaction and loyalty as well as to improved business results. ​

Recognizing the complexities of financial products, Earnix provides an end-to-end Pricing and Product Personalization Software Suite, driven by world-class data science, analytical modeling tools, and integrated machine learning.

The Earnix 3D Personalization Suite empowers Financial Institutions to offer the RIGHT PRODUCT, at the RIGHT PRICE, at the RIGHT TIME, while maximizing business KPIs, ensuring governance & compliance, and improving the enterprise-wide end-to-end product personalization and pricing process.

Earnix has been consistently innovating for Banks and Insurers around the globe for over 18 years. We have offices in the Americas, Europe, Asia Pacific, and Israel.

Job Description:

We are looking for a Machine Learning Research Scientist who will be responsible for exploring, testing and adopting novel Machine Learning methods to enhance Earnix’s products

Requirements:

  • MSc in Computer Science/Statistics/Engineering or any related field with focus on applied statistics, machine learning, deep learning
  • At least 2 years’ practical experience as a researcher, preferable business experience in applying these concepts to business related problems
  • Expertise in machine learning/statistical/data-analysis algorithms: GLM, decision trees, GBM, clustering
  • Proficiency in R/Python
  • Programming experience in Java

Advantages:

  • Experience in NLP
  • Experience in deep learning
  • Prior experience in the FinTech industry
  • Programming experience in Java

Additional skills:

  • Fast learner & self-motivated
  • Strong analytical capabilities
  • Out of the box thinking
  • Sufficient mathematical background for reading applied statistical/data-analysis papers
  • English proficiency – both verbal & written

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.)

We are a start-up at a pre-seed stage in the area of the AI for the Pharma Drug development, aiming to discover new medication opportunities. The area of AI for the Pharma industry is rapidly evolving these days with special focus and significant investments from the Pharma companies, investors and governments, and opens great opportunities to get to the most complex Data Science challenges in parallel with contributing to the well-being of the humanity.

We are looking for a Senior Data Scientist to lead the Data Science and Machine Learning aspects of our endeavor. The relevant person will be part of the startup core team and will be key player in shaping our solution and roadmap.

Requirements:

  • Team player
  • At least 5 years industry experience as DS/ML team manager
  • Master’s degree/PhD in either Data science, statistics, bio-statistics, etc.
  • Experience in unsupervised learning and NLP
  • Hands on experience as a developer in python
  • Experience in leading end-to-end Machine Learning projects
  • Understanding of the medical or biological data can be a great advantage

We’ll be glad to meet with the relevant candidates to tell more about us and our vision and discuss engagement opportunities.

Razor Labs is looking for a talented hands-on team leader with a strong background in Algorithmics.

Razor Labs is leading a number of national projects while also having an extensive activity in international projects. Razor Labs specializes in computer vision, deep learning and machine learning, developing Razor Labs technological infrastructures in real-time video analysis and prediction / recommendations as a result of learning historical information. Razor Labs goal is to bridge the gap between companies and large organizations in the AI world.

At Razor Labs you will have the opportunity to integrate into a company that is at the forefront of technology with a young, pleasant atmosphere and people who are like family!

Job qualifications

At least 3 years of hands-on experience in #Computer_vision / #Machine_Learning / #Deep_Learning

M.Sc. in Computer Science / Electrical Engineering / Physics / Mathematic.

Strong mathematical skills, deep understanding of linear algebra, deep learning, signal processing or image processing

Proactive, can-do attitude

Previous experience in leading teams

Artificial Intelligence is playing an increasing role in sales organizations of all sizes. Enterprises communicate with customers over phone, on email, in chats. Salespeople rely on AI to analyze the growing data and provide actionable insights. For example: which deal could be at risk? what challenges my competition? Which email is more important to read first? What do I need to know before my meeting? And many other scenarios that we can’t yet make public!

Dynamics for Sales is a huge and healthy business already, and we are building a big team which centralizes its AI capabilities, and take them to the next level. We analyze a variety of data types: text, speech (voice), structured data; we build models which give actionable and timely insights; and work on advanced personalization and customization to empower sales people to excel.

 

Work and Responsibilities

As a scientist you will be a member in a team of scientists. You will:

  • Work on machine learning models in one or more of the following areas: natural language processing, personalization and recommendations, models on structured data, time series analysis.
  • Develop new methods and use existing methods to create useful product features.
  • Engage with product managers and with customers, to thoroughly understand business problems and design AI solutions accordingly.
  • Collaborate with researchers and practitioners around the company.
  • Represent the team in external and internal forums.

We provide the scientist with top-notch opportunities to work, grow, learn, as well as engage in academic activities such as publications and conferences, patenting, giving talks, traveling to customers and collaborators.

Qualifications

  • PhD/MSc in computer science, electrical engineering, information systems, mathematics or physics, with 1+ year of meaningful experience.
  • Interest in product, customers, the business behind the product and how they influence the algorithm.
  • Passion to solve problems in the field of large-scale data analytics.
  • Ability to balance creativity and execution.
  • Ability to code in high level languages (e.g., C#, Java), as well as scripting (e.g., SQL, Python).
  • Experience in AI projects that reached maturity – a strong plus.
  • Team player, communicative, highly motivated, innovation-oriented, can-do attitude.

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 Science Team Leader

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:

* M.S. or Ph.D. in Computer Science, Mathematics or a related field.
* Academic background in deep learning, natural language processing, machine learning
* 4+ years’ experience in Deep Learning algorithms
* 4+ years’ experience with DL frameworks (e.g. TensorFlow, PyTorch, Mxnet, Caffe, etc.)

Data Scientist

MatrixBi

Hi Every One! 🙂

We are looking for Data Scientist.
This Person will be responsible for designing and implementing the new data science and machine learning infrastructure
Building a new data science team for this project
Laying out the tools and processes for applying machine learning in our new product environment
Migrating the current algorithms into the new environment
Building a research and testing environment that will lead to easy deployment of new models
Research and deploy new models to support new features
Responsibility for the on-going performance of the algorithms incorporated in the solution
Work closely with the development and product teams working on this project

Requirements:
B.A/B.Sc in Computer Science, Mathematics, Statistics or similar in a known university.
M.Sc or PHD – an advantage.
Team/Group management skills – an advantage.
Data science: at least 5 years experience in machine learning algorithms in the areas of classification and prediction.
Knowledge in Recommendation systems – an advantage.
Familiarity with the retail and marketing landscape – an advantage.
Modeling languages: Python, Scala
Experience applying data science in a distributed environment (e.g. PySpark) – a big advantage.
Creative, Initiative, and a great person to work with!

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 senior data scientist in the core data science team, you will develop the next generation of algorithms designed to help the company battle fraud, be a professional focal point for other data scientists, stay on top of new methodologies and algorithms.

What You'll Be Doing

  • Initiate, design and develop the algorithms that will leapfrog the company with the next generation of fraud solutions
  • Collaborate with research teams to provide innovative solutions to teams across the company
  • Mentor our great team of data scientists

Qualifications

  • 5+ years experience as a data scientist, applied researcher or similar in the industry
  • MSc (PhD – advantage) in computer science, mathematics, physics or similar
  • Expert in ML techniques – hands-on & deep theoretical background, including: regression, classification, clustering and other non-supervised methods, imbalanced data sets
  • Hands on & theoretical expertise in at least one of the following: NLP, Deep Learning, Time Series Analysis, Graph Theory
  • 3+ years hands on experience in R and/or Python
  • Knowledge in statistical tests
  • Excellent communication skills
  • Amazing team player & fun to work with
  • Startup experience – advantage

ML Researcher

LogMeIn

INTRO

Looking for your next deep learning challenge? Have a passion for speech-to-text technology? Want to work with the best voice-tech talents in Israel? We’re your next career stop!

LogMeIn simplifies how people connect with each other and the world around them to drive meaningful interactions, deepen relationships, and create better outcomes for individuals and businesses. LMI is one of the world’s top 10 public SaaS companies – and launching a new AI Center of Excellence in Herzliya that will conduct research and development for the entire LogMeIn portfolio of products – Speech-to-text, NLP, NLU and more.  You’ll join a world-class team that keeps pushing the limits as we work to establish the finest AI teams in Israel!

What’s it like to work for us?  Imagine a small and cozy startup, backed by a global tech leader. We offer competitive compensation, office perks, ability to participate in global hackathons, happy hours, work-life balance, personal growth plans, volunteer work and more!

YOUR IMPACT

-> Your research and outcomes will help millions to become more effective in their everyday work and communication.

-> You would be part in solving big-world problems

ABOUT YOU

-> A curious sort, always embracing learning in a fast-paced and demanding environment.

-> You want to invest in personal development and be all you can be.

YOU WILL

-> Report to the head of research in Herzliya.

-> Work in a research team that develops a state-of-the-art Speech Recognition Engine;

-> Implement and evaluate novel approaches and methods for enhancing the recognition accuracy and/or expedite performance;

-> Investigate adaptation techniques for various scenarios;

GREAT TO HAVES:

-> MSc in Computer Science, Mathematics or Electrical Engineering;

-> Practical experience with Machine Learning and Deep Learning;

-> Proficiency in at least one of the following languages: C/C++, Java, Python;

-> Ability to carry out research independently, or in collaboration with 1-2 other researchers.

-> Love for music

NICE TO HAVES:

-> Knowledge and experience with Automatic Speech Recognition (toolkits like Kaldi or HTK);

-> Knowledge and experience with Deep Learning frameworks such as TensorFlow, PyTorch or Keras;

-> Experience with statistical language processing.

WE WILL:

Make sure partnering with us proves to be your best career move.

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