NLP

Convizit’s AI technologies are revolutionizing how user behavior data is collected, structured and analyzed.

As a senior machine learning researcher, you'll be joining an awesome multidisciplinary team of data scientists and machine learning engineers who are responsible for Convizit’s core technology. Our AI-based tracker, the most advanced user behavior tracker in existence, processes millions of online user actions, worldwide, every day. The resulting structured datasets are the most comprehensive and granular ever generated for user behavior analysis and insight generation.

We work on challenging problems in the fields of clustering, NLP, process mining and causality. We combine advanced machine learning techniques with simpler approaches and heuristics to solve problems that, until recently, were considered “unsolvable.” You will develop data-driven approaches and products that are changing the face of user behavior analytics.

The ideal candidate is an experienced ML researcher/data scientist who is passionate about problem-solving, with a strong theoretical background, familiarity with a variety of machine learning approaches/techniques and proven experience developing machine learning models and deploying them into production environments at scale.

What you’ll do:

  • Translate challenging problems into ML projects.
  • Brainstorm with other data scientists and machine learning engineers to conduct hands-on research and identify the best approaches/solutions.
  • Develop production-level code that runs, trains and maintains ML models at scale.
  • Evolve and help others evolve professionally, through brainstorming sessions, joint work and mentoring.
  • Work closely with software and data engineers on product integration.

What you have:

  • M.Sc./Ph.D. in Computer Science or related fields
  • 5+ years of experience as a data scientist/ML engineer
  • Strong theoretical and practical background in a variety of machine learning techniques, including unsupervised learning and preferably NLP
  • Significant hands-on experience in Python, with the ability to write clean, efficient code
  • Experience with big data frameworks (e.g., Kafka, Spark, Hadoop)
  • Experience with cloud SaaS environments (e.g., AWS, Azure, GCP) – an advantage

Who you are:

    • Passionate about problem-solving, with a “can-do” mentality
    • Innovative and creative, you love to learn new things and find creative solutions to challenging problems
    • A great teammate, with excellent communication skills, who loves to collaborate with others
    • Persistent, responsible and accountable
    • You love to look at the big picture and help lead teams to successful outcomes
    • Comfortable working in a fast-paced, dynamic and collaborative environment

AI Researcher

IBM Research

We're looking for a Researcher with a strong background in machine learning and artificial intelligence with a passion for the medical domain to join our Haifa team.

Strong Computer vision and/or NLP background is an advantage.

Would you like to work on meaningful research focused on cancer understanding?
Our team is developing novel algorithms for the improvement of healthcare. We automatically analyze medical images and patient's medical records to help clinicians make better decisions.

Job responsibilities

  • Invent, design, implement and test new methods to push the boundaries in the fields of cancer understanding and medical imaging
  • Document research results through external publications, patent disclosures, seminar participation, and more

Required Technical and Professional Expertise:

PhD/MSc in Computer Science/Electrical Engineering or related fields, or equivallent experience
Experience in machine learning, specifically using modern DNNs to solve challenging tasks
Strong coding skills; at least 2 years experience in Python programming
Innovative thinker, creative spirit, and self-learner
Good team collaboration skills

Vimeo is looking for a Machine Learning Researcher to join the Video Insights team.

Vimeo’s platform provides the highest quality video tools for filmmakers, businesses, and video enthusiasts around the globe. Video Insights team delivers services and products that help Vimeo users make effective videos, by applying Artificial intelligence (AI) technologies connecting the content and it’s online performance.

It is a great opportunity to join a core founding team and take part in shaping the AI movement within Vimeo.

What you’ll do:

  • Perform research on delivering insights to products utilizing a variety of datasets available on Vimeo's platform, in the fields of – Computer Vision & NLP.
  • Conduct a full cycle of research from problem definition, to investigating and optimizing potential solutions.
  • Be part of a cross functional team, and be the AI expert in the team exploring and evaluating potential impact to the problem in hand.
  • Partner with relevant teams to deploy and apply research outcomes, as well as monitor KPIs and model performance in production.
  • Learn and teach others on the state of the art AI technologies, take an active part in driving AI innovation across the organization.

 Skills and knowledge you should possess:

  • M.Sc./Ph.D or relevant industry research experience with a focus on machine learning or related areas.
  • Experience in applying machine learning to real-world problems.
  • Strong programming skills and experience in Python.
  • In-depth knowledge of deep learning with at least one of the following areas: Natural Language Processing, Computer Vision, Recommendation Systems, Search, Personalization, Reinforcement Learning.
  • Strong understanding of the production aspects of machine learning models.
  • Good communication skills and ability to work in a cross-functional team.

Bonus Points:

  • Experience with Text and Video understanding.
  • Familiarity with Engineering operation tools, such as Docker, Cloud, Jenkins, etc.
  • Familiarity with Machine Learning, experiment management platforms, such as KubeFlow.
  • Experience with Deep Learning Frameworks such as TensorFlow, Pytorch

Snap Inc. is a camera company. We believe that reinventing the camera represents our greatest opportunity to improve the way people live and communicate. Our products empower people to express themselves, live in the moment, learn about the world, and have fun together. 

Snapchat is the camera used by millions of people every day to Snap with family, watch Stories from friends, see events from around the world, and explore expertly-curated content from top publishers. In short, we are a passionate team working hard to build the best platform in the world for communication and storytelling.

We’re looking for an exceptional Deep Learning (DL) Engineer to help us improve our conversational technologies. This includes building deep learning speech and NLP models that will be used by millions of users throughout the world. Applicants need to demonstrate production proven experience together with exceptional skills in research and implementation of algorithms in DL, ML, NLP and signal processing.

Responsibilities

  • End-to-end responsibility of deep learning and machine learning models, from research, design and up to implementation.
  • Train, benchmark, deploy and monitor machine learning models throughout the production pipeline

Minimum Qualifications:

  • Master’s or PHD in Computer Science or another quantitative field
  • 5+ years of experience in research teams
  • 5+ years of experience using Python/Go/Java
  • Proven experience in manipulating data sets and building statistical models
  • Proven experience building ML/DL solutions in production (using TensorFlow/Pytorch)
  • Proven experience working within a cloud based environment

Preferred Qualifications:

  • Deep and broad understanding of foundation up to state-of-the-art machine learning deep learning, deep learning and advanced statistical techniques
  • Excellent written and verbal communication skills
  • A drive to learn new technologies and techniques
  • Advantage: proven production based experience in developing systems with deep learning networks for voice and/or NLP
  • Advantage: working in research for high scale consumer systems

Please complete your application before 15th February 2021

Research happens at Google everyday, on many different embedded teams throughout the company. Our research reaches the user through both services and products such as Search, Maps, Google Assistant, Google Translate, Google Cloud and our computing, storage, and networking infrastructure. To achieve this, we’re working on a wide variety of projects that utilize the latest state-of-the-art technologies that push the boundaries of what is possible.

At Google, research-focused engineering interns are embedded throughout the company, contributing to the setup of large-scale tests and deploying promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

From creating experiments and prototyping implementations to designing new architectures, research-focused engineering interns work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

Participation in the internship program requires that you are located in one of the specific country locations identified for this role for the duration of the internship program. We will discuss and agree with you what country this will be during the recruitment process.

Research happens at Google everyday, on many different embedded teams throughout the company. Our research reaches the user through both services and products such as Search, Maps, Google Assistant, Google Translate, Google Cloud and our computing, storage, and networking infrastructure. To achieve this, we’re working on a wide variety of projects that utilize the latest state-of-the-art technologies that push the boundaries of what is possible.

Minimum qualifications:

  • Currently enrolled in a PhD degree in Computer Science or a related technical field.
  • Research experience in Natural Language Understanding, Computer Vision, and/or Machine Learning from previous internships, work, personal projects, and/or lab work.
  • Experience with one or more general purpose programming languages: Java, C++,Python or Go.
  • Having published papers (being listed as author) at conferences (e.g. NIPS, ICML, ACL, CVPR, etc).

Preferred qualifications:

  • Returning to your degree after completing the internship.
  • Ability to design and execute on research agendas.

Postdoc

AI and Data Science Lab at BGU

Open position in Ben-Gurion University for a postdoc in a new EU-funded project on radicalization detection and prevention using AI, starting date  is flexible and remote supervision is possible. Good background in NLP and/or social network analysis required

Please contact Prof Kobi Gal for additional.

Shield’s platform analyzes huge amounts of electronic communications in order to fight financial crimes.

We are looking for a highly motivated candidate to be our Data Scientist . If you are passionate about NLP & ML, have 3+ years in the field you are welcome to contact us. in this role, you will be responsible for all the data science aspects of our analytical pipeline (Python). Finding the latest technology to improve our capabilities, like NER, Lemmatization etc' in a variety of languages. Building new data models tailored for the financial & compliance industry that combines advanced algorithms with NLP & Machine learning models in order to enhance Shield's ability to find the needle in a haystack in the world of structured & unstructured data of electronic communication.

REQUIREMENTS

  • B.Sc/M.Sc  Computer Science, Math or related disciplines
  • 3+ years of hands on industry experience in NLP – Must
  • Strong programming skills (Python a big advantage) – Must
  • Fintech experience – an advantage
  • Experience in relational DB's
  • Self learner
  • Team player

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
  • 3+ years’ experience in Deep Learning algorithms
  • 3+ 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 Scientist

Sixgill

Sixgill is a market leader in deep and dark web cyber threat intelligence. The company helps Fortune 2000 companies, financial institutions, government and law enforcement agencies protect their finances, networks, and reputations from cyberthreats that lurk in the deep, dark, and surface webs. The advanced cyber threat intelligence portal automates all phases of the intelligence cycle, providing organizations with unparalleled information and actionable insights to protect their assets in the ever-evolving cyber threatscape.

 Sixgill is a well-funded, fast-growing tech company where automated actionable intelligence that leans on AI-based analysis is key for our business and operations. We already apply a portfolio of NLP and ML models that processes our unique collecting from the deepest and darkest sources. We are looking for a talented data scientist to join the team.

 As a data scientist in Sixgill, you will gain access to a breadth of data collected from the deepest sources on the web and apply state-of-the-art techniques to extract insights from it. You'll be responsible to drive your ideas from initiatives, through research, all the way to Python production code in order to provide clear value for Sixgill customers.

REQUIREMENTS:

  • M.Sc or higher degree in computer science or another relevant field from a leading university
  • Good understanding of machine learning methodology and workflows
  • 2+ years of experience building production-deployed machine learning models
  • Industry experience in NLP
  • Passion for data
  • Enthusiastic and energetic
  • A team player
  • Thrive in a fast-paced, agile environment
  • Fluent in English and Hebrew, both written and verbal

ADVANTAGES:

  • PhD
  • Has broad knowledge of SQL and NoSQL DBs
  • Experience with neural networks text processing methods such as BERT
  • Intelligence Background

Data Scientist

retrain.ai

About our company

By 2025, we want to provide 10,000,000+ people, working for the world's leading organizations, with cutting-edge skills and create a nimble workforce ready to compete in the 21st century. We at Retrain.ai, see a world where people can work alongside machines, and not be displaced by them, where automation and AI help create and identify the jobs of the future.

What role are we seeking?

Data Scientist

Description

Our team is looking for a brilliant and experienced data scientist to join our top talent team of and data scientists and leverage skills such as word embedding, language modeling , knowledge-based understanding, entity extraction and graph representations to the edge, by using state of the art NLP methods to integrate diverse data sources, and ambitiously generating the world’s first multi-dimensional people-skills-jobs taxonomy. Lead and conduct research and production-grade implementation of novel technologies working alongside a multi-disciplinary team of software engineers and product specialists, Ph.D. and M.Sc. backgrounds, and many years of domain experience.

Requirements

  • At least MSc in Computer Science or equivalent
  • At least three years of experience as a researcher
  • Experience in state of the art NLP approaches
  • Knowledge of a variety of machine learning techniques.
  • Full working Proficiency with open source ML frameworks such as TensorFlow or PyTorch
  • Python Master with a hands-on attitude
  • Experience working with and creating data architectures in a cloud environment
  • Excellent written and verbal communication skills for coordinating across teams.
  • Good interpersonal, strong problem solving & logical reasoning skills with an emphasis on product development
  • A drive to learn and master new technologies and techniques
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