Are you looking for an opportunity to challenge yourself?

At ZoomInfo our employees work hard to ‘define new possibles’, and they are driven by winning. ZoomInfo is a company that got to where it’s at today on the backs of heroic efforts, over the years, by our employees and we are looking for more people to contribute to those efforts. At our company you’ll see that collaboration is second nature, and you’ll be greeted by a team of incredibly smart, talented, and motivated individuals who will help you define your new best.

You’ll be presented with opportunities to both personally and professionally develop as you build your career. We believe that our employees love to work and love to work here, and that you will like coming to work because of the sense of accomplishment you get from being a part of what we’re building.  You are a fit for our team if you refuse to lose, you seek challenges, and you love to win.

We welcome you to join our team of difference makers who are people working with a passion to win together.

We are looking for motivated, enthusiastic individual to join our data science team. The role is a blend of hands-on data science work, an eye for innovation, and an understanding of the markets in which we work.

The new Sr. NLP Data Scientist will be part of the NLP Data Science Team.

What you will do:

Apply your NLP expertise to propose and develop models and solutions that improve our ML-driven products. Devise models and algorithms and guide engineering to develop scalable solutions that can work real-time with large amounts of data. Help us develop novel solutions, and unlock new directions. You’ll collaborate with product teams, mentor them on best practices for modern NLP, and keep the wider team informed on the state of the art. In addition, you will be in a strategic position to influence future roadmaps for NLP-driven products. You will engage with the research community via publications, workshops, and tutorials.

Who we are:

The data science group With access to countless data sources the group is the ultimate playground for the passionate data scientist. The group is focusing  mainly on text processing tasks such as information extraction, data parsing, text classification, named entity recognition, coreference etc.

The group is currently under rebuilding and is expecting to grow significantly


  • Post-graduate or PhD in Computer Science, EE, or Machine Learning related degree with a focus on NLP; or equivalent work experience in the field

  • 3+ years NLP applied research experience, preferably experience applying NLP research to real-world problems in the industry

  • Experience in building production ML models and understanding of inference challenges at scale

  • Good theoretical grounding in core machine learning concepts and techniques

  • Ability to perform comprehensive literature reviews and provide critical feedback on state-of-the-art solutions and how they may fit to different operating constraints

  • Experience with a number of ML techniques and frameworks, e.g., data discretization, normalization, sampling, linear regression, decision trees, SVMs, deep neural networks, etc.

  • Familiarity with one or more deep learning software frameworks such as Tensorflow, PyTorch

  • Strong communication skills, both oral and written.

  • Excellent analytical, organizational, and time management skills.

Nice to haves:

  • Experience with large-scale systems and data, e.g. Hadoop, distributed systems

  • Publications in top conferences/journals such as EMNLP, ACL, COLING, TACL, CoNLL, NeurIPs, ICML, ICASSP, Interspeech

About us:

Built over 20 years ago, ZoomInfo Powered by DiscoverOrg has helped companies achieve their most important objective: profitable growth. Backed by the world's most comprehensive B2B database, our platform puts sales, marketing and recruiting professionals in a position to identify, connect, and engage with qualified prospects. ZoomInfo offers unrivaled data and accuracy with contacts, companies, direct dials and professional movement. For more information on our intelligence solution, visit us at

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.

Our projects:

Using NLP to categorize the content of the customer interactions, in order to understand which parts we can change and improve in our UI, documentation or more, in order to improve the customer experience

Automatically summarize the contents of each customer interaction, in order to optimize note-taking by reps

eveloping models that grade different angles of rep customer interactions (professionalism, empathy levels), in order to enable better "Coaching" for their managers

Algorithm Engineer

Antelliq Innovation Center

We are looking for a highly talented and motivated Algorithms Engineer who will take a leading part in the research and development of algorithms for Antelliq Innovation Center. Our algorithms team innovates, designs and develops algorithms for various products and applications.

This role requires in-depth understanding and know-how in signal processing, machine learning, and data analysis.

Desired skills and experience: 

  • B.Sc. or higher in EE / CS / Physics
  • Experience and a strong intuition in signal processing, machine learning and data analysis
  • 2+ years of experience in algorithms development
  • Strong programming skills, fluent in MATLAB
  • Self-learner
  • Team player

NLP Expert

Citi Innovation Lab Israel

Citi Innovation Lab in Tel Aviv is where dynamic projects are cultivated. The lab provides thoughtleadership, technological solutions, and innovation to Citi’s global banking business.

The Natural Language Processing and Machine Automation (NLP & MA) group is responsible for

researching NLP capabilities and implementing NLP products to increase the revenue of Citi. The group is

looking for a talented, creative and experienced NLP expert. This is a great opportunity to advance in your

career, work on projects throughout all stages of the life cycle, and use the state of the art technology.

In our team, we push the boundaries on the state-of-the-art in language understanding, intent

classification, and learning from human interactions. All this, using machine learning, NLP, and deep

learning methods.

If you love to create innovative algorithms, are passionate about applying technology to real-life

problems, think out-of-the-box, and are interested in joining a group of top researchers solving

challenging problems – your place is with us!

NLP/ML Researcher

Signals Analytics

Signals Analytics and its next-gen, on-demand data platform takes trillions of unstructured and unconnected external data points and turns it into actionable insights. The platform's analytic engines connect disparate data with deep context to help brands in the Consumer Packaged Goods, Food & Beverage, and Pharma sectors better align with evolving trends. Clients include Procter & Gamble, e.l.f., Nestle, Johnson & Johnson, Bayer, Roche, Mars, and others. Backed by Sequoia Capital, Qumra Capital, Pitango Growth, and TPY Capital, Signals Analytics is redefining market research for the world's leading brands.

We are looking for hard-working, passionate people to help us advance the way organizations use data to be more successful. Using our cloud-based data platform, Signals Playbook™, our team works with executives at major companies worldwide to take unstructured and unconnected external data and turn it into actionable insights for smarter product decisions.

Signals Analytics is seeking an experienced researcher to join our Research team. Our team develops natural language processing 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:

  • Be a major contributor in shaping our research road-map and infrastructures, to provide ontology-based NLP solutions in multiple knowledge domains. Be a mentor in your domain and work in collaboration with other team members, to develop innovative and practical, applied research solutions. You’re expected to demonstrate high quality, efficient, and scalable solutions while following software and data engineering best practices in an agile ecosystem.
  • Work with our Knowledge Engineering and Product teams to define requirements and translate those into well designed algorithmic research and solid software solutions
  • Work closely with our R&D teams to contribute ML/NLP capabilities to an end to end automated processing pipeline
  • 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.


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

About us:

Intel Labs is Intel’s world-class, industry leading research organization, responsible for driving Intel's technology pipeline and creating new opportunities. The AI Lab develops breakthrough technologies that will lead the next evolution of compute by offering end-to-end AI solutions that broadly span from the data center to the edge. Our team is focusing on Deep-Learning software and hardware technologies dedicated for state-of-the-art inference and training techniques. We have open sourced NLP Architect, are avid open source supporters and actively publish papers at leading conferences.

About You

We are looking for a talented research student to help our efforts in the field of neural network algorithmic optimizations (e.g. compression, neural architecture search, computation optimization) for existing and next generation hardware products in areas such as natural language processing, speech, and vision.

The job responsibilities may include but are not limited to:

  • Working with leading architects on analysis of large-scale deep learning topologies and map the bottlenecks
  • Research and implement innovative neural networks optimization ideas to optimize neural networks
  • Publish papers in top tier deep learning conferences
  • Contribute to Intel’s open source deep learning projects


What are we looking for?

  • BSc/MSc/Phd student in Computer Science, Computer Engineering, or related fields
  • Strong software engineering background
  • Familiarity with DL theory and algorithms
  • Proven experience in Python and in one of the popular DL frameworks such as PyTorch or TensorFlow
  • Track record of creativity and innovation
  • Understanding of system architecture and hardware design
  • Good written and verbal communication skills for expressing technical ideas and initiatives

Nice To Have

  • Familiarity with state-of-art NLP and DL models
  • Experience working with NLP models and developing NLP algorithms and pipelines
  • Experience in maintaining or contributing to open source projects
  • Familiarity with data analysis tools

Inside this Business Group

Intel Labs is the company's world-class, industry leading research organization, responsible for driving Intel's technology pipeline and creating new opportunities. The mission of Intel Labs is to deliver breakthrough technologies to fuel Intel's growth. This includes identifying and exploring compelling new technologies and high risk opportunities ahead of business unit investment and demonstrating first-to-market technologies and innovative new usages for computing technology. Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units.

Meet Rupert.

We’re a group of engineers and data fanatics, with a combined experience of close to 30 years working for world’s top institutes and organizations. We are building a product that will change the way businesses utilize and consume data.

In order to do that, we’re developing new ways for data teams to work with the organization’s data assets (datasets, reports, etc) and deliver insights and analyses to business users. We’re working on cutting-edge technology like semantic parsing of text-to-sql for our product.

The ML team is based in Tel Aviv and led by Ben Bogin, with the help of our advisors, leading researchers and academics. We’re looking for a key hire to join the team, who will work on actively-researched NLP problems such as semantic parsing, intent-recognition, semantic textual similarity and more. We expect you to lead end-to-end research and development on big bets we’re making in order to deliver a unique platform that can capture a big piece within a massive market. 

What we need.

  • M.Sc. / Ph.D. in CS / NLP / Machine Learning / equivalent practical experience.
  • Experience with NLP methods using Deep Learning. Good understanding of current work in this field (Language Models, Seq2Seq models, transformer models etc.) and experience with pytorch/tensorflow is a must.
  • 3+ years hands on experience in developing NLP based products.
  • 3+ years of hands-on programming experience.
  • Experience with building production quality deployment of applications related to natural language processing – Advantage.
  • Knowledge of machine learning techniques and algorithms and the ability to apply them in data driven natural language processing techniques.
  • Startup attitude. A person who understands the limits and opportunities of working lean, while moving fast and keeping it cool in an environment with different opinions and diverse characteristics. 
  • A creative mind, a problem solver, who doesn’t fear trying out new approaches, methods, tools, and technologies in order to achieve results.

Who are we?

Our mission at Webiks is to create powerful, data-driven applications and models that help our clients innovate and grow. We build custom software and custom models for clients from multiple industries, including Defense, Security, Health, and Automotive. We think long-term. Forming long-lasting strong relationships and partnerships with our clients is at the core of our strategy.

Who you are?

As our Head of Data Science, you will be managing our Machine Learning / Deep Learning / Data Science functions. You are a Data Science beast – you are comfortable with all major areas of machine intelligence, including Computer Vision, NLP, Tabular Data, Time Series, and Reinforcement Learning. You are a Deep Learning enthusiast, however, you understand that, sometimes, good old ML modeling and feature engineering perform much better. Your understanding of Statistics is better than 99.8% of the population (95% confidence interval = 99.7% – 99.9% 🤓).

What’s this job about?

As our Head of Data Science, you will be responsible for:

  • Translate our clients’ broad requirements into well-framed Data Science challenges.
  • Build plans, as good and detailed as possible, for Data Science projects, from idea to production, while fulfilling a set of constraints (budget, time, data, and more).
  • Adapt and improvise as those plans collapse and fail to meet the real-world (they always do).
  • Develop and train, by yourself, rapid prototypes and proofs-of-concept to test new ideas and to explore their feasibility and their potential value to relevant stakeholders.
  • Drive the end-to-end execution of our Data Science projects process, including understanding the requirements and goals, set the criteria, data exploration, model selection, training, and evaluation, all the way to full-scale implementation and integration.
  • Manage end-to-end Kaggle-style Data Science competitions, on behalf of our clients.
  • Lead and mentor our enthusiastic and talented, but less experienced, Data Scientists – through example, evidence and clear communication. You are expected to be the patient mentor and the over-achieving pace-setter – at the same time!
  • Build our team. If all goes well, you are expected to grow our Data Science team from 3-4 Data Scientists to a team of ~10 – in 12 – 18 months.
  • Pursue business opportunities. We don’t hire salespeople. Our managers drive sales through intimate communication with our clients. You are expected to assist our customers to thoroughly understand the value of hidden potentials that can be unleashed by hiring us.
  • Maintain a highly cross-disciplinary perspective, solving issues by applying approaches and methods from across a variety of Data Science disciplines and related fields.
  • Continuously evolve yourself by keeping up to date with the latest Data Science, Machine Learning & Deep Learning technologies.
  • You’ll be reporting to our CEO and will be a part of our management team. You are expected to actively take part in forming the company’s growth strategy.



You flourish when you are surrounded by talented, sharp-minded people.

You think big – but you are everything but a bigshot. You love doing things yourself. You like mentoring others. You’ll never take a job that doesn’t have a significant hands-on portion.

You are a great communicator. You write, you talk, you appear, you communicate.

You are open. You understand that the only reason you have reached so far is that you were able to stand on the shoulders of giants. You truly believe the principles of the open movement – Open Source, Open Data & Open Innovation.

You are a competitor. “Bestfitting” Kaggle winner is your role model.


Deep technical expertise in Data Science, Machine Learning, and Deep Learning.

MSc or equivalent experience in a quantitative field (Computer Science, Statistics, Mathematics, Engineering, etc.)

At least 5 years of successful, hands-on, Data Science positions.

You can code. Your code quality meets the typical Software Engineering standard (and not only the typical Data Science standard).

Proficient in Python.

Experience with machine learning frameworks and libraries (Tensorflow, Pytorch, Keras).

An all-around data scientist: strong statistics background, experience in experimentation, data visualization, machine learning algorithms, optimization, and big data.

You are comfortable at reading academic papers and reproducing their results.

Our Process

If you want to apply, please send your CV or Linkedin URL to

Please write “Head of DS application” in the email subject line.

Please attach to your email at least three links to three of the followings:

A paper you have published (arXiv included).

A technical blogpost you have written (English or Hebrew).

A lecture/presentation you gave in a meetup/course/conference.

A Kaggle competition you have participated in and scored well.

An open-source project you have contributed to.

A Jupyter / Colab notebook you have published.

Smadar, our HR manager will then contact you and set up an introductory call. If relevant, we will then set up a meeting with Omer, our CEO, and together we will take it from there.

At BIyond, we utilize algorithms to process massive amounts of data in order to deliver the product’s core features.
We are currently expanding our team of Data Engineering and AI in order to handle the significant challenges of our customers.

We are looking for a Senior Data Scientist (NLP) to join our team.
One that truly loves data and is eager to use it to develop AI/ML products.

What you will be dealing with:
Implementing complex NLP and Text Mining algorithms on data stored in a variety of unstructured formats.
Handle free text and text extraction.
Parse and extract data from large text documents with complex formats.
Create templates for automatic extraction of data from similar formats.

4+ years of experience as a Data Scientist (NLP)
Hands-on experience developing applications using Python and Regex.
Proven work experience in NLP methodologies, solutions and algorithms.
Experience with Text Analytics, Text Processing and Text Mining.
Ability to take concepts in NLP literature and translate them to well-tested code.

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