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eToro is the world’s leading social trading network, providing millions of users from around the world a one-stop-shop solution for their trading and investing needs. Since 2007, eToro has positioned itself as a Fintech leader, pioneering revolutionary practices such as social trading and machine-learning-powered investment products.

What will you be doing?

Research, Design, Implement and Deliver analytics-based algorithms to solve key business problems

Design and implement data driven

features that will be integrated into company’s key products

Design and implement full data mining and machine learning cycles

Data sources extraction, feature selection and engineering

Building Models

Evaluation and improvements

Interface with R&D Groups,

Product managers, BI teams and business stakeholders

Requirements-

BSc Degree in Computer Science, Information Management, Industrial/Electronics Engineering or related fields (MSc/Phd is an advantage)

·        Practical hands on experience/knowledge in developing algorithms in the fields of data science,

         machine learning or similar (experience in fields of trading/fintech -BIG advantage)

·        2+ years experience in researching and implementing algorithms using Python, R

·        Experience with Big Data is an advantage

·        Good analytical skills and original thinking

·        Good system level understanding of problems

·        Independent and innovative with the ability to lead problem definition and goal definition

          processes

·        Good communication skills

·        Fluent English

Data Scientist

Razor Labs

Razor Labs is looking for talented Data Scientists to join our product team, focusing on bleeding-edge Deep Learning R&D.

Join Israel's largest AI solutions company, disrupting the top Fortune 500 and ASX companies, while working with people who are like a family!

Our main product uses AutoML and Deep Reinforcement Learning to optimize complex processes in the Manufacturing, Energy, and Natural Resources sectors.

Requirements:

* At least 2 years of hands-on experience as a Data Scientist or Data Engineer.

* Strong programming skills in Python.

* Advanced knowledge of statistics: the ability to analyze data, identify phenomena of interest and draw conclusions.

* An advantage: B.Sc. in Computer Science or another relevant scientific degree

About Us

Riskified is the AI platform powering the eCommerce revolution. We use cutting-edge technology, machine-learning algorithms, and behavioural analytics to identify legitimate customers and keep them moving toward checkout. Merchants use Riskified to increase revenue, prevent fraud, and eliminate customer friction. 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.

About the Role

Riskified’s success stems from our ability to optimize approval rates to create significant value for the merchants using our decisions engine, in the form of increased revenue and better customer experience.

The Decision Optimization team will lead the research and development of several products that are designed to increase the value of our core product and increase our ability to optimize performance.

The team will develop a solid understanding of the bank ecosystem and research ways to improve the end to end payment funnel using multiple models in different parts of the payment flow. In addition, the team will work on improving our chargebacks representment flow utilizing ML algorithms.

Additionally, one of the main challenges for the team will be to test various orders ranking functions to maximize different business metrics, utilising multiple ML algorithms that review different facets of the online transaction.

As the team lead of a brand new team, you will have a unique opportunity to shape its work and focus. You’ll work directly with Riskified Product managers to shape the future of Riskified product offering, and will be in charge of the professional development of your team. You’ll need a holistic view of Riskified’s challenges and have a keen understanding of the underlying goals of the department and company. You’ll lead the team, be in charge of their professional development, and bring measurable value to the Riskified’s product through your team's efforts.

What You'll Be Doing

Directly manage a team of 3-5 Data Scientist

Constantly experiment with additional ways to improve our product offering, including complex experimental design

Lead the research for Riskified decision optimization products, working closely with Product on identifying the needs and answering

Work closely with the Dev & Product teams to implement the research results in production

Qualifications

At least 4 years experience as a data scientist/machine learning engineer in the industry

At least 2 years experience as a team lead of a data science/machine learning engineering team

M.Sc in exact sciences

Team player, amazing collaborator

Ability to write clean and concise code in R and/or Python

Good communication skills, ability to clearly explain complex concepts

Creative thinker with a proven ability to tackle open problems and apply non-trivial solutions

Solid understanding of statistics and applied mathematics

Good understanding of the payment ecosystem – strong advantage

Life at Riskified

We are a fast-growing and dynamic startup with 450+ team members between our offices in Tel Aviv and New York City. We value collaboration and innovative thinking. We’re looking for bright, driven, and passionate people to grow with us.

Some Tel Aviv Benefits & Perks:

Stock options for all employees

Keren Hishtalmut and pension

Extra time off for parents and caregivers

Commuter and parking benefits

Team events, fully-stocked kitchen, lunch stipend, yoga, pilates, basketball, soccer, and more

Deep Learning Engineer

Dynamic Infrastructure

Dynamic Infrastructure disrupts operation & maintenance of critical transportation assets using deep learning and computer vision. We automatically track defects in bridges and tunnels to provide maintenance alerts and assure the safety of transportation structures. The research team is in charge of creating cutting edge algorithmic solutions aimed to automatically detect and track a wide variety of structural threats and significantly accelerate and improve the analysis process.

Responsibilities

As a member of our research team, you will engage in a wide range of algorithmic areas including deep learning and classic computer vision for object detection, segmentation and image registration. You will work as part of a multidisciplinary team of engineers, physicists, researchers and designers to deliver an end-to-end product: from ideation, through collecting and assessing data, exploring algorithmic approaches, developing, testing and integrating algorithms in production environments.

Requirements

  • M.Sc. In computer science or another quantitative discipline, preferably in the field of machine learning / computer vision
  • Strong background in machine learning / computer vision foundations
  • 2+ years of hands on development in Python
  • 1+ year of hands on experience with deep learning using common open source frameworks and tools, preferably PyTorch
  • Strong communication and collaboration skills
  • Team player, positive and driven, fast learner
  • Passion for clean software engineering
  • Experience in writing production code or modules in large software repositories – huge advantage

General Motors Israel (Herzelia) takes a significant part in shaping the autonomous vehicle. We work on Active Safety, Smart Sensing, Vision Systems, Signal Processing, Machine Learning, Cyber Security, Sensor Fusion, Artificial Intelligence and Cognitive Systems. The technical domains and ongoing work streams include software and hardware groups (research, development and engineering) that work on the most complex issues and challenges facing the new mobility era. We shape the face of future vehicles in diverse fields by developing cutting edge technologies.

As we grow, we keep on adding new areas and fields to explore and develop, and have the clear vision of hiring the most qualified and brightest talents in order to excel on cutting-edge and non-traditional automotive technologies.

About the Group

General Motors Israel has a large AI group, where machine learning experts develop self-driving technology, which is safe, effective and affordable. The group's mission is to develop AI-based software solutions for GM’s future vehicles. The group offers opportunities in the realm of Machine Learning, for people with passion to develop a life changing product and can drive algorithm design and implementation for Autonomous Vehicles using the latest state of the art researches.

What are your day to day activities?

  • Be part of a top-tier team with bright and experienced researchers and developers
  • Design and implement innovative ML/CV algorithms for autonomous vehicles perception system
  • Own the complete feature cycle from research to implementation
  • Keep track of latest state-of-the-art deep learning research

Qualifications

  • Msc/Phd in EE/CS/Mathematics
  • Over 3 years of experience as Machine Learning, Deep Learning or Computer Vision algorithm developer
  • Proven software skills (C/C++/ python) to build and analyze performance of machine learning systems
  • Experience in object detection/segmentation/neural network  optimization – advantage

AI Applied Researcher

General Motors

About GM

There’s never been a more exciting time to work for General Motors. To achieve our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion, we need people to join us who are passionate about creating safer, better and more sustainable ways for people to get around. This bold vision won’t happen overnight, but just as we transformed how the world moved in the last century, we are committed to transforming how we move today and in the future.

General Motors Israel (Herzelia) takes a significant part in shaping the autonomous vehicle. We shape the face of the future vehicles in diverse fields by developing cutting edge technologies.

The Cognitive Car Group is developing the "brain" of fully autonomous vehicles through advanced AI capabilities and leading the development of artificial intelligence (AI) for autonomous driving in GM worldwide.

We are looking for object-oriented SW developer that will develop a highly capable autonomously driving agent, from inception to a fully working prototype, that is aimed to be productionized and integrated into GM’s vehicles all over the world.

About you –

  • You will Research and develop state of the art machine-learning and planning algorithms for autonomous vehicles
  • Keep track of latest state-of the- art machine-learning research and adopt where relevant
  • Write efficient code (python) that can run both on the vehicles and on our servers at scale
  • Interact with simulations, designing experiments and drawing conclusions to gain deep understanding of real-world problems and the best possible way to solve them

Qualifications

  • MSc/Phd in Computer Science / Electrical Engineering / Mathematics / Physics
  • Over 5 years of industry software development experience in at least one object-oriented language (such as C++/Java/C#) and at least one scripting language (such as Python/MATLAB)
  • Strong theoretical background in AI/Machine Learning/Statistics
  • Proven ability to perform research and implement methodologies
  • Excellent problem-solving skills.
  • Passion for learning new technologies

 It’s an advantage if you have:

  • Experience (academic or industry) in Robotics, Machine Learning, Planning, Decision Making, Neural Networks / Deep Learning, Foundations of Optimization.
  • Familiarity with deep learning frameworks (TensorFlow, PyTorch, etc.)
  • Experience in writing industry-level code in production systems.

About you

You have 4 years of experience in managing data engineering teams at highly reputable companies

You possess 4 years of experience in data analysis with SQL

Strong ability to take a business challenge, transform it into a plan and lead execution

Strong experience with data infrastructures on the cloud

Experience building complex data pipelines

Proven collaboration skills and a proven track record of successfully building and nurturing multi-level relationships

Strong capabilities of building organized processes and structured formal documentation

Experience in data processing with Python

Experience in ML -advantage

What you will do

  •  You will be at the core of the data foundations and data pipeline of the company
  • ·Define how data is being collected, transmitted, stored, queried and analysed
  • Be the enabler of the company’s growth and scalability, and your contribution will have a great impact on the company’s business
  • You will have the privilege to manage top talents and grow the team with your vision

Responsibilities: 

Analysis of machine vision challenges considering system wide optical and mechanical variables.

Characterization of tasks based on customers and /or marketing requirements

Design and development of algorithms to solve the challenges, including Matlab prototyping.

Implement algorithms using C++/C# within the scope of Camtek's SW system

May require short travel overseas to customer sites.

 

Requirements:

  • B.Sc (higher degree is appreciated) in Computer Science/Elect. Eng./Physics/Mathematics.

  • At least 2 years of proven hands-on experience developing machine vision algorithms.

  • At least 2 years of proven hands-on experience implementing machine vision algorithms in C++ in Win32 environment.

  • Matlab experience.

  • SW architecture and design principles.

  • Multi-disciplinary SW team work experience is appreciated.

  • Developing in C# in Win32 environment – appreciated.

  • Experience in Open CL/CUDA – appreciated.

  • Experience in Python – appreciated.

  • Familiarity with image processing libraries such as MIL and OpenCV – appreciated.

Wizer is a fast-growing startup that harnesses top-notch technology to help our customers understand what consumers want.

Our unique technology is favored by leading global brands (details on our website), giving them a competitive edge by collecting and analyzing data quicker and simpler. Our Israeli office is located in Poleg (Sapir train station area).

If you love building complex systems while solving real business problems in a dynamic startup environment, this is an excellent opportunity for you. We appreciate work-life balance and diversity.

We are looking for an experienced Algorithm Engineer to join our talented team as we build an innovative consumer insights platform:

As an Algorithm Engineer at Wizer, you will design, build, deploy, and develop our next generation of data engines and market research algorithms.

Your responsibilities

  •  Develop and apply advanced algorithms and Machine Learning to the exciting and rapidly evolving domain of market research
  • Collaborate with cross-functional stakeholders to understand their business needs, formulate and complete end-to-end analysis that includes: data gathering, analysis, scaled deliverables, recommendations and presentations to stakeholders
  • Contribute to a wide variety of research projects using statistical analysis and modeling
  • Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models

Requirements

  • At least four years of practical experience in development.
  • At least three years of hands-on experience with Python or Java.
  • Practical experience in machine learning and algorithm development.
  • Prior knowledge in NLP/NLU domain.
  • Strong analytical skills, Excellent problem-solving capabilities, and critical thinking skills, while demonstrated independence.
  • Self-motivated, self-learning person, “Out-of-the-box” thinker, problem solver.
  • Team player, responsible, delivery-oriented.
  • Excellent spoken and written English.
  • Bachelor's degree or equivalent practical experience.

About the Role

To enable our high performance, Riskified has created robust and highly standardized processes for the entire model training and replacement process. This includes generating optimized training and validation data sets, model training and hyper-parameter tuning, model comparison methodologies, threshold setting and segmentation. While this process works very well, it is currently being performed mostly manually by using our internal model assembly pipeline.

The Automation team is responsible for automating the entire process, leveraging the existing platform so that we can run fully automated, periodic model retrains and replacements. The team will also be responsible for setting smart dynamic thresholds that can meet the business goals while reacting to real-time fraud waves. The team will work closely with data scientists in other teams who define the best practices around data set generation, algorithms to use, hyperparameter tuning and validation processes, implementing their recommendations at scale. The team will also collaborate closely with the operation teams, automating part of their work to meet their business objectives. You’ll work closely with the development teams to hand off your work for implementation in production. You will face issues of running the process at scale effectively, while keeping an eye out for the tradeoffs between model accuracy, time and costs. You’ll look to control for multiple hypothesis testing when retraining dozens of models automatically, implementing effective monitoring to be sure the entire process works flawlessly and iron out countless edge cases as part of a fully automated process.

As the team lead of a brand new team, you will have a unique opportunity to shape its work and focus. You’ll prioritize between automating existing processes thus reducing human effort and creating algorithms to better optimize overall performance. You’ll need a holistic view of Riskified’s challenges and have a keen understanding of the underlying goals of the department and company. You’ll lead the team, bringing measurable value to the department through your team's efforts.

What You'll Be Doing

Automate machine learning processes at scale, using best practices defined by other data science teams

Collaborate closely with research analysts in operations to create recommendations for smart segmentations and dynamic thresholds

Provide technical mentoring for team members

Explore potential improvements to optimize the tradeoffs per merchant by adjusting our thresholds automatically

Qualifications

At least 4 years experience as a data scientist/machine learning engineer in the industry

At least 2 years experience as a team lead of a data science/machine learning engineer team

M.Sc in exact sciences

Team player, amazing collaborator

Ability to write clean and concise code in Python and/or Scala

Experienced with data science and software development best-practices

Good communication skills, ability to clearly explain complex concepts

Creative thinker with a proven ability to tackle open problems and apply non-trivial solutions

Solid understanding of statistics and applied mathematics

Prior experience as a software developer or data engineer – advantage

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