At Alexa Shopping, we strive to enable shopping in everyday life.

We allow customers to instantly order whatever they need, by simply interacting with their Smart Devices such as Amazon Show, Spot, Echo or Dot. Our Services allow you to shop, no matter where you are or what you are doing, you can go from 'I want that' to 'that's on the way' in a matter of seconds. We are seeking the industry's best to help us create new ways to interact, search and shop. Join us, and you'll be taking part in changing the future of everyday life.

Alexa Shopping is looking for an experienced Data Scientist to be a part of a team solving complex natural language processing problems and customer demand insights (including segmentation analysis and personas building using big data, ML and potentially AI). This is a blue-sky role that gives you a chance to roll up your sleeves and dive into big data sets in order to build simulations and experimentation systems at scale, build optimization algorithms and leverage cutting-edge technologies across Amazon. This is an opportunity to think big about how to solve a challenging problem for the customers and understand their requirements for products.

The ideal candidate will have extensive experience in Science work, business analytics and have the aptitude to incorporate new approaches and methodologies while dealing with ambiguities in sourcing processes. Excellent business and communication skills are a must to develop and define key business questions and to build data sets that answer those questions. You should have a demonstrated ability to think strategically and analytically about business, product, and technical challenges. Further, you must have the ability to build and communicate compelling value propositions, and work across the organization to achieve consensus. This role requires a strong passion for customers, a high level of comfort navigating ambiguity, and a keen sense of ownership and drive to deliver results.

At Alexa Shopping, we strive to enable shopping in everyday life.

We allow customers to instantly order whatever they need, by simply interacting with their Smart Devices such as Echo or Fire TV. Our Services allow you to shop, no matter where you are or what you are doing, you can go from 'I want that' to 'that's on the way' in a matter of seconds. We are seeking the industry's best to help us create new ways to interact, search and shop. Join us, and you'll be taking part in changing the future of everyday life.

The Alexa Shopping group is seeking talented and experienced Machine Learning engineers to design and develop Natural User Interface (NUI) shopping experiences and algorithms.

You'll have the freedom (and encouragement) to experiment, improve, invent, and innovate on behalf of our customers. You will have an impact on Amazon's new devices and the way shopping is done in the area of IoT. And finally, you will have the satisfaction of being able to look back and say you were a key contributor to something special from its earliest stages.

We are looking for outstanding researchers in all levels in the field of computer vison and machine learning, preferably with strong background in deep learning.

You will join a team of researchers working on state-of-the-art solutions in few-shot learning, reinforcement learning, deep fake detection, image retrieval in large scale, multimodal modal learning and more.  We do open research and aim to publish our work in top AI conferences. We also have open Internship/student positions. Associating your research at OriginAI with MSc/PhD studies is an option.

Basic Qualifications

  • MSc or PhD in either computer vision, machine learning, or a related field
  • Knowledge of and experience with deep learning
  • Publication/s at top-tier peer-reviewed conference or journal are an advantage

Who are we?

OriginAI is a unique multi-disciplinary Innovation Center aiming to resolve the most complicated technological AI challenges. Our research center encapsulates Vision, Speech/Audio and NLP groups seeking to advance current AI exploiting all modalities.

We are located at Ramat-Gan near the Savidor train station. Working from Haifa can be considered.

Since its founding in 2016, Tetavi has been at the forefront of developing the leading portable volumetric video capture system that creates high fidelity holograms for immersive experiences. Using computer vision and machine learning, we are enabling the next generation of AR/VR/XR experiences.  Join our Algorithm team, and be part of brining this new cutting edge technology to the world!

Must Have

MSc /PhD in Computer Science / EE or equivalent

Experience in machine vision

Ability to contextualize and keep up-to-date with recent state of the art literature

Experience with state of the art algorithms for computer vision and deep learning frameworks

At least two of the following:

  • Experience with generative models (GANs, VAEs)
  • Experience with neural rendering
  • Experience with deep learning algorithms for video processing
  • Experience with deep learning for 3D graphics
  • Experience with RNs

Experience in deep learning and relevant environments (Matlab, Tensorflow, PyTorch, etc)

Good programming skills in Python and C++

Experience in SW design and development tools

Nice to Have

Experience with video processing (motion tracking, stitching, stabilization)

Strong foundations in computer graphics

Knowledge in numerical optimization and mathematical modeling

RetiSpec is an artificial intelligence (AI) medical imaging company developing tools for the early detection of disease biomarkers in the eye. RetiSpec is seeking an AI researcher to join the team and develop state of the art algorithms for hyperspectral medical imaging.

The successful candidate will work on innovative projects which will directly advance medical research with the long-term aim of positively impacting patient health outcomes. This position is located in Toronto.

Responsibilities and Accountabilities:

● Develop and contribute to AI training and evaluation pipelines in Pytorch (or Tensorflow).

● Develop and modify state of the art models to fit the specific task.

● Apply state of the art AI training practices.

● Work with cloud-based computing (e.g., AWS SageMaker) to train algorithms

● Understand and maintain good code architecture practices.

● Curate data, clean, organize and maintain a data storage from different sources and modalities.

● Demonstrate good judgment and innovation to achieve a solution within standard practices and procedures.

● Must be self-motivated, organized, capable of working independently, as well as in a collaborative or team environment.

● Should possess strong oral and written communication skills.


Knowledge and Experience:

● Bsc/Msc/Phd in computer science, electrical engineering or related field.

● 2+ years of industry experience 

● 3+ years of Python experience

● 2+ years of Pytorch/Tensorflow experience

● Experience in data curation

● Experience with SOTA classification and regression techniques

● Advantage: Experience with multi-modality algorithms

● Advantage: Experience with medical data

● Advantage: Proof of experience in a form of Kaggle competitions, private Github repo or others.

● Excellent interpersonal skills with the ability to interact effectively with people internally and externally is required.

● Experience with multitasking among multiple projects and teams and working independently in a fast-paced, highly interactive environment.

● Demonstrated ability to prioritize activities based on ambiguous or quickly changing information and environments.

HiredScore brings deeply integrated big data and AI solutions to the global Fortune 500. By leveraging data from companies' Human Resources Data ecosystem, HiredScore enables to automate and augment the hiring process, enriching recruiters' decisions with smart insights and candidate prioritization grades of A, B, C, or D using NLP and Machine Learning algorithms.

HiredScore's Artificial Intelligence Engine uses past company hiring data, global hiring data, and other data sources including labor market data, employee performance data, and CRM data, to revolutionize the end-to-end recruiting workflow as well as integrate seamlessly with other HR Systems such as chatbots, assessment tests, video interviews, and other automation tools. HiredScore's mission is to bring data science into the Human Resources domain.

We’re looking for a Senior Backend Engineer for our NLP and Machine Learning Team – a senior developer who will lead the team's engineering, including machine/deep learning models deployment and serving, experiments management infrastructure, production services architecture, and development.

Roles & Responsibilities

  • Be part of the research and development of NLP and Machine Learning solutions for the HR-Tech
  • Lead the engineering effort of the team including business logic, models deployment, and experiments management infrastructure
  • Collaborate HiredScore’s DevOps and infrastructure teams to build for the scale of HiredScore, including monitoring and performance considerations
  • Help the largest companies in the world to have better, more efficient, and fair hiring.

What You Need

  • An experienced Software engineer, 4+ years of developing, backend orientation
  • Experience in Python development – a must
  • Creating software with built-in quality (SOLID, Tests, Separation of Concerns, etc.)
  • Experience in CI/CD
  • Understanding of Machine Learning systems
  • Experience working with cloud platforms (Advantage- AWS)
  • Bachelor's degree in Computer Science or related field

Who we are

Authomize is taking on the challenge of developing the next generation application authorization management solutions that meet the needs of the dynamic, fast-paced modern cloud environments.

We are combining various data sources and developing domain expertise to help our customers make better identity security decisions.

Who you are

We are looking for creative data scientists who:

  • Are intrigued by various types of data and their intersection.
  • Take pleasure in dealing with real world challenges such as inaccurate data or self-validation of relevance.
  • Are problem solvers with a “can do” approach, for whom algorithms are the right vehicle to reach the answers.
  • Want their work to make a real-world impact.

What will you do 

  • Deliver end-to-end data-driven products – including data QA, research, model development, prototyping, offline validation, implement in production and online testing. 
  • Analyze unstructured complex data to identify meaningful patterns and build useful recommendations and alerts. 
  • Create methods for enriching existing data with external sources. 
  • Write production code in python. 
  • Perform data manipulation, validation, and cross-domain research.
  • Collaborate with product and engineering teams to solve problems and identify trends and direct development efforts.

Data Scientist


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 one of a kind data collected from the deepest sources on the web and apply state-of-the-art techniques to extract insights from it.

You'll work on a variety of tasks spanning from classification, anomaly detection, entity recognition, graphs, to recommendation systems using classical ML algorithms alongside transformers /attention and advanced technologies.

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.

Join us if you want to make a significant impact in protecting the world from cyber threats.


  • M.Sc or higher degree in computer science or another relevant field from a leading university
  • Good understanding of machine learning methodology and workflows
  • 4+ years of experience building production-deployed machine learning models
  • Industry experience in NLP
  • Strong knowledge in Python
  • 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


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

Data Scientist


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.


  • 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.

Job description

The Land division of Elbit Systems provides integrated solutions to the defense sector, and is a major part in ensuring the safety of Israeli citizens and defense forces. At the AI and Algorithms Group we develop cutting edge algorithms for a wide range of systems, from autonomous vehicles to drones and more. We tackle problems in the areas of 3D-perception, computer-vision and decision making, using Deep Learning and Reinforcement Learning methods.

We are looking for a senior algorithm developer to lead the development in various projects such as autonomous ground and aerial vehicles, active defense of armored vehicles and situational awareness.


  • Develop algorithms for real-time perception of autonomous vehicles using Deep Learning and classical computer vision methods
  • Develop infrastructure for 3D perception solutions
  • Lead development efforts from concept to integration and deployment


  • MScPhD in CSEE Related field
  • 3 years of experience developing computer-vision algorithms
  • Strong knowledge in 3D computer-vision
  • Knowledge in Deep Learning and ML frameworks (PyTorchTF)
  • Highly proficient in Python or C++
  • Knowledge in SLAM Semantic Mapping – advantage

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