Razor Labs is looking for a talented hands-on team leader with a strong background in Algorithmics.
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:
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.
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.
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
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!
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.
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.
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
Bonus points if you have
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 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
-> 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.
-> 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.
Make sure partnering with us proves to be your best career move.
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.
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.
Development experience in Python or Scala
The job is open for advanced degree students as it could be tailored to be part time for the right candidate.