NLP

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

Job qualifications

At least 3years of hands-on experience in Computer vision / Machine Learning / Deep Learning

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

Previous experience in leading teams

Proactive, can-do attitude

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

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

At Twiggle, we believe computers should understand people just like people do. To enable that, we are building powerful knowledge-based search technology. As a deep learning engineer, you’ll be an integral part of the data science team and have the opportunity to work on one of the hardest problems in e-commerce and contribute to the disruption of a multi-billion dollar industry.

The data science team at Twiggle is diverse and independent. Our mission is to generate insights and understanding out of data that Twiggle has collected over the past few years. We are responsible for the machine learning pipeline all the way from inception through data gathering to deployment.

What You'll do

  • Draw insights from tens of millions of labeled data points.
  • Build machine learning and deep learning models that enhance the online shopping experience and help retailers understand their catalogs better.
  • Define and implement techniques for measuring the quality of our machine learning pipeline.
  • Enjoy the freedom of working independently while receiving support from the rest of the team.
  • Have a direct impact on the quality of Twiggle's AI-powered retail solutions.

Requirements

  • M.Sc. with distinction or PhD from a leading institute in CS/EE/Physics or a related field.
  • Deep mathematical understanding of statistics, machine learning and deep learning modeling.
  • Hands-on experience in developing deep learning models.
  • Strong analytical skills; ability to analyze very large volumes of data to extract insights
  • Excellent coding skills, preferably in Python.
  • Excellent people skills; the ability to give and receive constructive feedback to help others improve.

Bonus points if you have

  • Experience in delivering ML/DL models to production
  • Experience with NLP models
  • Experience with cloud platforms (AWS/GCP)

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.

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.

We are mmuze – an exciting funded and accomplished start-up

mmuze is an AI company with the vision to become the leading platform for businesses for creating intelligent Voice and Text conversational shopping experiences. Our customers include the largest and most innovative businesses in US and Europe, including Fortune500 enterprises. We are using high-end machine learning and AI algorithms to create a virtual online shopping assistant for every commerce business.

We are looking for a passionate data science researcher with machine learning and NLP experience to join our team and grow with us.

His/her role will include active research of latest deep learning frameworks for NLP tasks – such as transfer learning, sentence embeddings for clustering, classification and information extraction.

Requirements:

Development experience in Python or Scala

  • Data science experience and knowledge in text-based applications – statistics, machine learning hands-on development.
  • Academic background – at least a B.A in Computer Science.
  • NLP background
  • Deep learning experience
  • Hands on experience with at least one DB – SQL or NoSQL

The job is open for advanced degree students as it could be tailored to be part time for the right candidate.

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