Deep learning

What you’ll be doing:

As part of the Customer Engagement Analytics research team you will deal with a diverse range of problems such as text and meta-data based prediction, natural language processing, speech analytics, sentiment, clustering, word embedding, etc.

As part of your role you will have a chance to work with the latest technologies such Transformers and wav2vec.

You will be expected to provide insights to millions of users from real-life of customer interactions.

The work is both analytical and experimental in nature and includes prototyping of new algorithms, investigating data, and evaluating algorithm performance.

In this role you will work together with other researchers and product in identifying needs, defining the research topics and the desired outcomes as well as collaborate with and coach other researchers in the lab.

Come and be a part of our passionate, talented, and data-driven team.

* Our working model combines remote work and office time

What you’ll need:

  • Advanced degree in computer science or related fields doing research in the fields of Machine Learning
  • 5+ years’ hands-on experience in researching and implementing classic, deep learning and preferably also transformer-based algorithms
  • High proficiency in Python
  • Practical experience with machine learning and deep learning packages, such as scikit-learn, TensorFlow/Keras, Spacy, Hugging Face etc.
  • Experience working with real-life data and performing exploratory analysis
  • Ability to effectively communicate in English complex concepts in a clear and professional manner
  • Good knowledge of the field, being up to date on the state of the art
  • Good analytical skills and original thinking
  • Independent and innovative with the ability to lead an applied research task from problem definition to delivery
  • Team player
  • Fluent in English

Extra points for

  • Experience with visualization
  • Linguistic background

Would be very NICE to see:

If you have any of the below, we highly recommend adding them to your CV. We'd love to learn about what you've done so far

  • A link to a post you wrote or an interesting presentation you’ve given
  • Open source projects you’ve created or contributed to
  • Interesting, non-trivial problems you’ve dealt with

NICE (NASDAQ: NICE) is the worldwide leading provider of software solutions that enable organizations to take the next best action in order to improve customer experience and business results, ensure compliance, fight financial crime, and safeguard people and assets. NICE solutions are used by over 25,000 organizations in more than 150 countries, including over 80 of the Fortune 100 companies.

NICE’s solutions empower organizations to capture, analyze, and apply, in real time, insights from both structured and unstructured data. This data comes from multiple sources, including phone calls, mobile apps, emails, chat, social media, video, and transactions.

If you are looking to be part of a dynamic team working in an exciting environment with global challenges, this is the job you’ve been looking for!

What we do

With more people to feed, and less arable, our world must find smarter ways to maximize yield and minimize waste. And it all starts with seeds. At Seed-X, we develop Computer Vision, AI and Deep Learning technologies to ensure every seed fulfils its genetic potential. As a result of our pioneering work, we help seed breeders and seed producers create and sort the seeds our world needs.

Who you are

A BSc/MSc student in CS, EE or a related field, with a strong coding skills in Python.

What you will do

Join the algorithm team who uses images of different modalities to solve fine-grained, few shot, multi task and multi label classifications in supervised and un/semi/self-supervised manners.

Our algorithms team is responsible for all of the computer vision challenges the company is facing, tackling complex real-world indoor localization problems that directly affect the company’s success. You’d be joining a team of experienced researchers leading the research and implementation of our algorithmic engine analysing large streams of visual data from construction sites, together with 3D models.

What you'll do:

  • Face challenges in areas of SLAM/SFM and localization for indoor environments,using 3D computer-vision algorithms to meet unmatched accuracy and reliability demands.
  • Own the complete research cycle,from requirements to design, implementation and benchmarking, producing innovative solutions for core company problems.
  • Be part of a vibrant team of bright and experienced engineers bringing the construction industry into the digital age.

Requirements:

  • Ability to thrive in a fast-paced startup working environment.
  • 3+ years of experience researching computer-vision problems.
  • MSc. in CS/EE/Similar departments.
  • Proficiency in python.
  • Experience working with 3D data, including SLAM/SFM, localization or 3D-Reconstruction.
  • Deep theoretical and hands-on knowledge in the fields of deep learning for computer vision problems – advantage.
  • Experience with deep learning libraries (TensorFlow/PyTorch) – advantage.
  • Good vibes and a sense of humor – must.

Data Scientist

Intango

We’re looking for an experienced and bright Data Scientist to join our growing Data Science team!

Intango develops an industry leading and advanced online advertising platform, offering a variety of solutions that serve customers and business partners worldwide.

The team helps our business to evolve and grow by providing tools and solutions that allow the company to enter and remain competitive in multiple ad tech arenas.

Our passion for research is combined with a love for pragmatism. We enjoy seeing our solutions shipped as products that bring added value to the company’s business.

You will:

  • Devise optimization algorithms for buying traffic from a wide range of sources and various partners.
  • Develop Machine Learning and Deep Learning models to solve both new and existing challenges.
  • Lead model development lifecycle from conceptualization to deployment and maintenance.
  • Work directly with relevant stakeholders in our R&D, Product, and business teams.
  • Research new technologies and evaluate usefulness in the context of our ecosystem.
  • Constantly brainstorm, share knowledge and ideas to empower the team.

We’ll need:

  • MSc. / Ph.D. in Computer Science, Mathematics, or another quantitative field.
  • 5+ years of experience developing and deploying ML / DL models.
  • Strong command of SQL, including complex queries.
  • Work experience with big data technologies, such as Hadoop, Presto or BigQuery.
  • Hands-on experience with Python, particularly for data processing and model construction.
  • Familiarity with data exploration and preprocessing techniques, including feature extraction and data augmentation.

Advantages:

  • Experience with code management platforms, preferably SVN or GitHub.
  • Familiarity with Java.

Important to know:

We work in a hybrid model – 3 fixed days from the office, and 2 days you can choose to WFH or from the office.

Who are we?

The Artificial Intelligence Group at Intel IT is the leading group at Intel that creates state-of-the-art artificial intelligence (AI) capabilities. It includes >200 Data Scientists, Machine Learning Engineers and AI Product Managers & Analysts, most of them are located in Israel.

We deliver internal and external AI capabilities to transform the most critical business processes at Intel, from processors R&D, through manufacturing to sales and more. We have over 500 AI algorithms in production that create a competitive advantage for Intel and influence almost every processor that Intel provides, yielding over $1B in extra revenue or reduced costs. In addition, we offer self-service AI platforms and professional services to cater for the growing demand for AI across the company.

Our Data Scientists

We have the dream job for Data Scientists: We solve high value business problems using many diverse datasets; We analyze images, text, time-series and tabular data and utilize cutting-edge methods from various AI domains, including classical Machine Learning, Deep Learning, Reinforcement Learning and more; We’re using a variety of tools (e.g., TensorFlow, PyTorch, Scikit-learn, PySpark). Our Data Scientists are the core of any new solution we develop and they are involved in all the AI aspects of the project: from ideation and problem formulation, through state of the art research for developing the models, to preparing the production models for deployment. Our large community of over 50 Data Scientists enables you to work and learn with great minds, participate in internal seminars and courses and take part in leading professional conferences, thus ensuring you’ll constantly grow your skills and knowledge.

Qualifications

  • Top-notch MSc/PhD student focusing on Machine Learning / Deep Learning, including a thesis in this field.
  • Relevant disciplines of studies: computer-science, engineering or statistics.
  • Strong ML/DL knowledge + experience in solving data science problems using these methods.
  • Highly motivated to solve real world problems and create high impact in practice.
  • Substantial experience in programming in Python.
  • Acquaintance with AI-related tools, such as TensorFlow, PyTorch, Scikit-learn and PySpark.
  • Team player with great communication skills, who can also work independently and methodically.
  • Capacity to work at least 20 hours a week, and studies expected to continue for at least 1.5 years.

Inside this Business Group

Intel's Information Technology Group (IT) designs, deploys and supports the information technology architecture and hardware/software applications for Intel. This includes the LAN, WAN, telephony, data centers, client PCs, backup and restore, and enterprise applications. IT is also responsible for e-Commerce development, data hosting and delivery of Web content and services.

Come [legally] hack with us the data on the largest exchange that’s running our world. Not NASDAQ; the one with way more events – the Global Ads Exchanges, where millions of ads are born and clicked every second.

Step behind the curtain of algorithms and competitors that move $1T of annual budgets. Plunge into a world of ISP-volumes of traffic, sub-second predictions and TBs of live, real-world data. Use cutting-edge analysis, ML and engineering or just plain hacker-like thinking to out-perform the market.

Arpeely is a Data-Science startup, leveraging data analysis, ML, engineering, multi-disciplinary thinking to gain a market edge and exploit hidden opportunities in real-time advertising. Processing over 0.5m requests per second and serving over 20B sub-second predictions daily, we build and operate Machine Learning algorithms running on the world’s largest Real-time-bidding (RTB) Ad-Exchanges. Arpeely is a Google AdX vendor and serves clients spanning from startups to Fortune-50 companies.

As an Applied Research Scientist, you will solve company-strategic challenges by coming up with novel algorithms and super-charge existing ones while working in a fast-paced, quick-feedback rewarding environment. You’ll see your breakthroughs proliferate across cross-company challenges having an immediate impact in the company’s bottom-line success.

What You’ll Do:

Solve complex and strategic data challenges and proliferate knowledge and breakthroughs cross-company

Own the process end-to-end from research, theorization, strategy development to deployment, outcome analysis and refinement

Merge theory with practice by designing strategies and algorithms within the company’s core acquisition engine, deploy them end-to-end and see their success in production

Become the focal point of the Machine and Deep Learning areas of expertise within the company and guide fellow data scientists, researchers and analysts

Enjoy a high level of autonomy in a fast-paced business and work environment within a small and growing organization

Collaborate with a team of A-player researchers and engineers to solve complex data and market problems

Who we are looking for:

5+ years of experience working as a Data Scientist in an innovative environment

MSc/ PhD in Computer Science, Machine Learning, Physics, Statistics, Applied Math, or relevant qualifications

Proven experience building ML/DL solutions in production (using TensorFlow/Pytorch)

Proven ability of leading and delivering complex research projects.

Solid understanding of computer science fundamentals, data structures, and algorithms.

Experience in RTB, AdTech, FinTech – Bonus

Prior experience in startup environments – Bonus

Data Scientist

way2vat

We are seeking a researcher for a key position in our data science and algorithms team, with a significant opportunity to drive the next-generation technology of our company. Activities include rapid prototyping of solutions to data-driven problems using the most advanced deep learning techniques in both the domains of images and text and transferring the work to our live cloud-compute system. We have a direct-to-deploy mindset and the CI backend to support it and also publish articles and patents. Join our fast-paced team, including established research scientists, to build the next revolution in computational document processing.

Requirements

  • B.sc. in Computer Science, Math, related fields, or relevant coursework – Must.
  • A least 2 years of experience in a similar role – Must.
  • Programming: Python – Must, C++ – nice to have.
  • Experience with Deep Learning, NLP, or Computer Vision – Must.
  •  Linux fluency (scripting, command line), containerized deployment, AWS – preferred.
  • Experience with collaborative coding, source control techniques, software project management – required. Git, CI/CD – preferred.
  • Datastore and management: SQL – nice to have.

AI Lead instructor

Razor Labs

Razor Labs’ AI Academy is looking for an experienced AI Lead instructor 

About Razor Labs:

Razor Labs is the largest AI company in Israel seeking to revolutionize the processing and manufacturing industry with state-of-the-art solutions. We are both product-oriented and project-oriented, emphasizing the mining, manufacturing, utilities, and chemicals sectors.

We are located in Israel (Tel Aviv) and in Australia (Perth). Our bread and butter are AI and machine learning algorithms, focusing on data, vision, video analytics, 3D, resource allocation, and reinforcement learning. We build a robust ecosystem of engineers, working collaboratively, creating creative and efficient solutions, fast, in a family-oriented environment, working in either fast-paced POC’s or long-term productization.

About Future Learning:

Future Learning is Razor Labs AI academy, and we do 3 main things: First, we locate, educate and train the next generation of Razor Labs engineers. Secondly, we educate and empower Razor Labs team members, to keep them at the forefront of the AI methodologies. And finally, we educate and empower executives worldwide; we give them the tools to evolve into the AI revolution. We also build partnerships with industry, academia, and government institutes.

Scope of responsibility Includes:

  • Lead and oversee the “FL for seniors” training program.
  • Define, build and update the course syllabus.
  • Train and lead the program participants to expertise and growth
  • Assist instructors and mentors in understanding the aim of every content.
  • Be available and aware of every student during the training process.
  • Lead the “Lifelong learning” program from a professional point of view.
  • Lead the content discovery and assist with creating the best content out there.
  • Define and build the platform with the education team.
  • Create brand awareness & impact in the Israeli AI ecosystem:
  • Brainstorming with the team about new concepts of AI education.
  • Create content, leading the local and global talks/meetups.
  • Content creation for the Future Learning Community.
  • Creating content with high quality for our Executives Community

Requirements:

  • At least 2 years of hands-on experience in machine learning/computer vision/deep learning.
  • M.Sc. /Ph.D. in Computer Science / Electrical Engineering or related field.
  • Strong mathematical skills.
  • Extensive programming experience in Python.
  • High presentation skills.
  • Proactive and can-do attitude approach.
  • Leadership and an ability to lead learners to growth.
  • Problem-solving and excellent communication skills.

What would be an advantage to have:

  • Experience with AI solutions in data, vision, video analytics, and 3D.
  • Experience with building and teaching AI programs.
  • Previous experience in leading teams.

ML Engineer

diptera.ai

Jerusalem / hybrid | Fulltime

Diptera.ai is a growing VC backed startup developing a technology for mosquito control. We are looking for an excellent candidate to join our ML R&D and help us create a technology that is going to save lives and prevent mosquitoborne diseases.

You will research, design, and develop innovative computer vision algorithm solutions. This R&D engineering position offers the opportunity to take part in the development of Diptera’s core technology, while collaborating with our physics, biology and engineering teams.

We are looking for someone with:

  • MSc in Computer Science or related. Experienced BSc candidates will be considered as well
  • Experience in algorithms development endtoend, from POC to production levels, in the fields of computer vision and image processing
  • 3+ year experience in developing ML and DL algorithms in TensorFlow or other DL frameworks
  • Excellent programming skills in Python and C++

Further advantages:

  • experience in Linux
  • experience with NVIDIA Jetson platforms 
  • experience with sensor integration

If you feel you fit the bill and would like to join us in making a difference, please email a CV and a few words about yourself

We are looking for an experienced Senior Deep Learning Engineer with proven capabilities to lead development of new products from concept to production.

In this role you will be a part of a highly talented team to drive UVeye’s inspection portfolio, while creating a diverse Machine and Deep Learning algorithmic solutions.

 Responsibilities:

  • Design and development of novel robust and efficient Machine Learning/ Deep Learning algorithms for major Vision challenges.
  • Create Proof of concept for new products and technology.
  • Evaluate and benchmark different algorithms on unique proprietary datasets.
  • Collaborate with team members to define future technology and features.

Requirements: 

  • At least 5 years of industry experience in development and productization of Deep Learning Algorithms.
  • At least 3 years of industry experience working on major Vision problems in the fields of: Detection, Classifications and Segmentation.
  • Experience with Python- Must, C/C++ – An advantage.
  • Experience with Major Deep Learning Frameworks (such as PyTorch, TensorFlow, etc.).
  • Experience working with: Tracking / Identification / Image Retrieval / Anomaly Detection / Pose Estimation / OCR -An advantage.
  • Comfortable in unexplored territory, independent and self-motivated.
  • Relevant Degree.
  • Excellent English.
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