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
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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.
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
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:
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
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!
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:
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.
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:
What are we looking for?
Nice To Have
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.
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.
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.
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% 🤓).
As our Head of Data Science, you will be responsible for:
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.
If you want to apply, please send your CV or Linkedin URL to email@example.com.
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.
BeyondMinds is looking for a motivated and experienced Data/ML Engineer to join our team and help us build a state-of-the-art system, to solve the most challenging problems on top of our core product. Our product is based on a unique approach for modular AI R&D process – enabling us to solve the most complex AI problems in a scalable way, breaking most of the barriers in implementing AI solutions for mission-critical problems. We are looking for someone who can thrive in a fast-paced environment while being self-directed, creative and determined.
BeyondMinds is an Enterprise AI company that bridges the gap between academic research and the mass adoption of enterprise-scale AI applications.
BeyondMinds has developed radically efficient technology to build, deploy, and maintain state-of-the-art AI solutions, significantly shortening time-to-market and maximizing impact. By using our technology to build solutions for core business problems, we are pushing the AI revolution forward, accelerating transformations, enabling massive cost-reduction and rapid enterprise-growth. Our offices are based in Tel Aviv & London.
We are looking for a computational linguist or AI engineer
with experience in cutting-edge NLP.
Research, design and implement the core NLP algorithms underlying
the company's product
Glean Labs is an automatic employee competency platform for large R&D organizations (500+ tech employees).
Operational and collaboration systems, used by tech employees on a daily basis, contain valuable data on actual work and processes taking place.
By gleaning and analyzing that data, Glean's algorithms automatically identify and continuously update employees’ skills, knowledge, and experience.
Managers and employees can use Glean's evidence-based insights to transform organizational processes (such as workforce planning, project staffing, internal mobility, knowledge sharing, and many others) into data-driven decision-making.