Junior

Spot by NetApp is one of the largest and most advanced companies for cloud workload automation. We aim to improve performance, reduce complexity and compute infrastructure costs. As a significant participant in the cloud optimization field, Spot by NetApp faces many challenges. Our research team provides solutions for core problems handling large amounts of data from thousands of customers. We work closely with the product teams to bring state-of-the-art technology to production.

What you’ll do:

  • Devise data-driven models for cloud-related topics, e.g., work-load allocation, SecOps, FinOps
  • Discover the latest architectures, and become an expert on the related literature
  • Work with our product team to design a solution that meets the needs of our customers 
  • Work closely with the R&D team to scale our solutions with the latest MLOps technologies

Required skills and experience:

  • Studying towards MSc, or Ph.D. degree in CS, EE, or a related field 
  • Proven experience in the field of machine learning and deep learning
  • Strong coding skills in Python
  • Knowledge of DS libraries  (e.g., Pandas, scikit-learn) 
  • Excellent analytical skills

Preferred skills:

  • Publication record in machine learning or related conferences (e.g., NIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICASSP, AAAI, WACV, ACL, NAACL, EMNLP, and others)
  • Experience with frameworks for deep learning (e.g., Pytorch)
  • Theoretical knowledge in the field of time-series prediction 
  • Familiarity with cloud services (e.g., AWS)

Data Scientist

Salt Security

About us

APIs form the foundation of the application innovation needed to drive business success today. Across banks, retail and transportation, IoT, autonomous vehicles, and smart cities, every web and mobile app depends on APIs. Without secure APIs, businesses cannot rapidly innovate. Salt Security has delivered the only patented solution to identify and prevent API attacks, using Big Data and AI to thwart this top threat to businesses today.

Who We are

At Salt, we’re passionate about what we do. We work as a team and embrace new ideas, wherever they come from. We also enjoy all the benefits of a startup environment, including quickly seeing the results of your work, making an outsized impact on our company, and solving a diverse set of engineering challenges.

Want to make a big difference? We encourage you to apply!

About the position

Our research team deals with the extremely challenging aspects of Salt’s cutting edge solution. From inventing and validating new algorithms to delivering advanced insights and analytics, we use our data to level up the security we provide to our customers.

Anomaly detection, classification, prioritization and complex graph analysis problems are our bread and butter. Building advanced ML pipelines alongside keeping our models and algorithms at the state of the art is our continuous challenge. Together with our super talented engineering team, we set the industry bar for AI based API security.

We are looking for a passionate data scientist to help our growing data science team to face the biggest challenges in the fields of API attacks detection and prevention.

REQUIREMENTS

Who are you?

  • MSc/PhD in computer science, math, physics or related field
  • 2+ years of experience as a data scientist/data engineer
  • Strong theoretical grounding in core machine learning concepts and techniques
  • Proficiency with a variety of modern machine learning methods (decision trees based schemes, clustering methods, statistical graph analysis etc)
  • Experience with statistical and machine learning tools and frameworks – Python, Spark etc.
  • Self-learner, initiator, able to quickly learn new technologies
  • Experience in working with engineering teams to deploy models in production grade systems, evaluating and improving models based on engineers and customers feedback
  • Experience with data pipelines / big-data analytics – advantage

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 graduate in CS, EE or a related field, with 1-2 years industry experience coding in Python and good knowledge of CS231n course topics.

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.

About us

At Prospera, we use computer vision and machine learning to inform and enable predictable, optimizable and efficient processes for growers worldwide. Our team of computer scientists,
physicists, and agronomists work together to facilitate more sustainable harvests across five continents.

We’re looking for strong computer vision researchers to join our growing team. We’re working on large-scale, real-world problems, with multi-spectral data collected daily and worldwide. Our work requires mathematical intuition, hands-on knowledge in deep and classical computer vision, and passion for data.

Job requirements

  • B.Sc. with honors in Physics, Mathematics, Computer Science or related subjects.
  • M.Sc./Ph.D. in related fields – strong advantage
  • 1+ years working on computer vision problems
  • 2+ years of industry experience as a data scientist – strong advantage.
  • 2+ years of hands-on experience with developing code using Python.
  • Deep understanding of statistical modeling and machine learning
  • Ability to initiate and lead projects end to end
  • Passionate about data!

Data Scientist

MSD Animal Health Intelligence Technology Labs

Our Company is where we transform vision into reality. It's where ideas become technologies, and cutting-edge technologies become solutions for animal care and management.

We support farmers by providing real-time actionable information to help them manage their herds. It provides pet owners with smart devices and data that give them a better understanding of their pets’ activity and health needs, enriching relationships. It helps conservationists safeguard natural environments and wildlife.

Leveraging decades of Technological Research & Development experience across many markets, technologies and species, along with development environments and Quality Assurance procedures, we're always inventing new ways to look after the health and well-being of animals. Our decades of experience keep us ahead of the curve by leveraging advanced Technological Solutions from enhancing the precious bond between people and their pets, to advancing animal healthcare and wildlife preservation.

 

We are looking for a python developer that wants or in the process of making the transition into the data science world. This job includes both theoretical research and python implementation.

Being a world leading group in animal intelligence, we are looking for a data scientist that will help us to discover insights from the vast amounts of data our systems collect.

In this role you will utilize data mining techniques, doing statistical analysis, and building prediction models for the purpose of surfacing insights related to livestock and companion animal behavior.

You will also integrate those algorithms into our cloud production environment.

Requirements

  • B.Sc. or higher in computer science or engineering
  • Theoretical knowledge of Data Science, hands-on experience is an advantage
  • 3 years of experience as a Python developer
  • Statistics skills, such as distributions, statistical testing, regression, etc.
  • Theoretical knowledge of Collaborative Filtering, k-Means, Spectral clustering
  • Linear-Algebra – a must (LS, PCA, SVD)
  • Experience in SQL
  • Self-learner
  • Team player

Research assistant

The Microstructural Imaging Lab, Sheba, Tel-Hashomer

A research assistant for an exciting project in the field of breast cancer early detection is needed!

Responsibilities:

⦁ Provide assistance in conducting research activities, including planning, organizing and support in algorithm development.
⦁ Coordinate and perform a variety of independent and team activities involved in the collection, analysis and interpretation of results.

Criteria:

⦁ BSc/MSc in exact sciences or engineering with programming knowledge in Matlab/Python
⦁ An ability to work independently and lead a research project
⦁ Great interpersonal skills and team work
⦁ Knowledge in image analysis methods – advantage
⦁ Knowledge in machine learning/artificial neural networks – advantage
⦁ Research experience – desirable

Machine Learning Applied Researcher

The Diagnostic Neuroimaging Lab

Job description:

  • Performing Neuroimaging analysis using MATLAB, Python,

  • Developing Machine Learning algorithms in neuroimaging and medical data

  • Integrating all data received from various aspects of the different studies- structural and functional MRI scans, CRF's, clinical questionnaires, neuropsychological tasks, and patient's clinical background

  • Writing manuscripts and grant proposals

  • Applying Machine Learning algorithms in neuroimaging data

Job requirements:

  • Industrious candidates with B.A/M.A./M.Sc or PhD in neuroscience, computational science or psychology

  • Programming skills, especially in MATLAB or Python

  • Excellent interpersonal abilities and ability to work in a team

A full/part time position and a two year commitment is required!

The Analytics organization at Earnix is charged with developing state of the art analytical and AI/ML solutions & algorithms that are embedded into Earnix suite of products. We are looking for a highly motivated Python wizard programmer to help us build innovative analytical applications.

Requirements

  • A B.Sc. student in Computer Science/Statistics/Engineering or any related field
  • High proficiency in Python coding including visualization packages and web applications using python (Dash)
  • Acquaintance with CSS, HTML

Advantages:

  • Acquaintance with machine learning/statistical/data-analysis algorithms: GLM, decision trees, GBM, clustering, etc..
  • Experience with Web-development, AWS tools
  • Familiarity with other software languages such as Java, JS

Additional skills:

  • Fast learner & self-motivated
  • Strong analytical capabilities
  • Out of the box thinking
  • English proficiency – both verbal & written

About the company:

Brodmann17 is developing game-changing Deep Learning and Computer Vision  algorithms for ADAS and Automated Driving. We’re pioneering state of the art software products that achieve the best performance and accuracy, making it an ideal solution for the most demanding challenges of the fast growing automotive market. Come and join us in one of the most interesting AI companies, contributing to a life-saving product!

About the job:

We are looking for a Deep Learning engineer to join the Brodmann17 Chief Scientist’s team. In this position, you will build best in class infrastructure and tools for developing deep learning based ADAS and Autonomous Driving products. You’ll be a key member of designing, implementing and extending this platform that enables fast, continuous and flexible Deep Learning algorithms development. You will work closely with excellent researchers to understand the needs and requirements of the research as well as keep up to date with latest developments in the field.

Main responsibilities:

  • Design, build and maintain software platform for end-to-end development of Deep Learning computer vision algorithms.
  • Improve the platform capabilities by keeping up to date with product requirements and academic publications.
  • Work closely with the research team to understand their requirements and integrate new capabilities.

Required: 

  • MSc or above in Computer Science or a related field
  • Relevant projects in Deep Learning / Computer Vision
  • Basic experience with Machine Learning or Deep Learning
  • 2+ years of excellence in Python coding capabilities
  • Experience with Object Oriented Programming and code design
  • Ability to understand and implement complex algorithms
  • Strong execution and ownership orientation, through design, development, and deployment 
  • A team player with good communication skills, both written and verbal
  • Ability to work as a strong contributing member of a small R&D team.

Advantage:

  • Knowledge of Computer Vision, Object Detection
  • Familiarity with toolkits for Deep Learning such as TensorFlow/PyTorch.

Who are we?

Our mission at Webiks is to create powerful, data-driven applications and models that help our clients innovate and grow. We build custom software and custom models for clients from multiple industries, including Defense, Security, Health, and Automotive. We think long-term. Forming long-lasting strong relationships and partnerships with our clients is at the core of our strategy. 

Who you are?

As a Junior Computer Vision Engineer you will have an important role in our Data Science and AI team. You are a Computer Vision enthusiast, with knowledge in both deep learning and classical computer vision algorithms. You are familiar with vision based navigation, image registration, detection, classification and segmentation of images and objects. You understand that, sometimes, good old ML modeling and classical image and signal processing techniques are essential, and you enjoy combining them with end-to-end DL approaches. 

What’s this job about?

As a Junior Computer Vision Engineer, you will be responsible for:

  • Design, develop and train state-of-the-art computer vision algorithms. All the way from rapid prototyping to production-ready models (object detection, fine-grained object classification, change detection and more).
  • Collaborate with engineers in our data-science, full-stack software development and product-management teams – to implement value-adding solutions.
  • Evaluate your results and improve your solutions based on business metrics and scientific train-val-test methodologies. 
  • Explore innovative techniques, such as active-learning, self-supervised learning and generative models, and evaluate their usability to our use-cases. 
  • Drive the end-to-end execution of Computer Vision projects, including understanding the requirements and goals, set the criteria, data exploration, model selection, training, and evaluation, all the way to full-scale implementation and integration. 
  • Maintain a highly cross-disciplinary perspective, solving issues by applying approaches and methods from across a variety of Data Science disciplines and related fields.  

 

Requirements

Personal

  • You flourish when you are surrounded by talented, sharp-minded people.
  • You love doing things yourself. You like mentoring others.
  • You are a great communicator. You write, you talk, you appear, you communicate. 
  • You are open. You understand that the only reason you have reached so far is that you were able to stand on the shoulders of giants. You truly believe the principles of the open movement – Open Source, Open Data & Open Innovation.

Technical

  • Technical understanding of Computer Vision and Deep Learning. 
  • B.Sc. degree graduate with relevant courses in CV, DL. 
  • 0-2 years of hands-on experience in computer vision.
  • Proficient in Python.
  • Experience with deep learning frameworks and libraries (Tensorflow, Pytorch, Keras).
  • Experience with computer vision frameworks and libraries (OpenCV, Pillow, PCL, etc.).
  • You are comfortable at reading academic papers and reproducing their results.
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