As a machine learning scientist you will research, design, implement, optimize and deploy models and state-of-the-art algorithms in autonomous platforms.

A strong candidate will ideally possess at least one strong expertise in the following areas and at least a basic familiarity in others.



– Train machine learning and deep learning models on a computing cluster to perform visual recognition tasks, such as segmentation and detection

– Develop state-of-the-art algorithms in one or all of the following areas: deep learning (convolutional neural networks), object detection/classification, tracking, multi-task learning large-scale distributed training, multi-sensor fusion, etc.

– Optimize deep neural networks and the associated pre-processing/postprocessing code to run efficiently on an embedded device

EyeClick is the maker of BEAM – an award-winning product that turns any physical space into an immersive, active and highly addictive gaming experience for kids aged 2 and up. With thousands of global installations, millions of kids playing and clients like McDonald's, Burger King, KFC, Wimpy, IKEA, Virgin and others, BEAM is an effective tool for businesses attracting kids and families worldwide, and great gaming experience for everyone.

We are looking for a Computer Vision Developer who will handle the computer vision algorithm of the product. In this position, the developer will create algorithms in the most efficient and optimal way for our devices. The tasks are varied, from identifying motion to identifying objects, in all kinds of challenging angles and speed.


Working with depth cameras

2-3 years of experience

Academic degree in science or engineering

Knowledge in Computer vision algorithms such as neural networks and background subtraction

Knowledge in Python


Military background in the field of computer vision

Arm + Linux

Working with OpenNi/OpenCV/Numpy

Critical needs:




We are

Theator is an early stage deep-tech company leveraging computer vision and AI to tackle variability and disparity in surgical care.

We’re looking for

A top-notch computer vision researcher to join our founding team to play a key role in designing and implementing our ambitious project.

If you’re a super quick study who loves to solve complex problems no one’s ever tackled before, highly motivated, passionate, with a sense of humor, fun to work with and enjoys the occasional poyke – you’re on our wish list!

You’ll be a part of our founding team, one of the first to help create an environment of like-minded professionals tackling a significant unmet need in healthcare. You can expect a high sense of ownership, a lot of responsibility and endless room for growth.

You’ll be responsible for

Implementing algorithmic modules that will be at the heart of our products

Constantly dealing with huge unsolved CV/ML challenges, continuously pushing the envelope

Keeping up-to-date on the most contemporary academic research, making sure that we’re defining the cutting edge in CV/ML in the field of surgery

Collaboration with world-renowned researchers that will provide guidance and support

The entire tech lifecycle: from proof of concept to deployment in the hands of users

Aiding in task prioritization, working with leading medical research teams to quickly execute objectives

Working with fellow CV researchers, software engineers, and our clinical team to design and implement a scalable algorithmic pipeline

Your background should include

At least 5 years in software development [or Industry research position]

At least 3 years in computer vision research or engineering

High level competency in python development

Experience with software design concepts

High familiarity with theoretical concepts of computer vision and deep learning.

Experience with at least one deep learning framework (e.g., tf, caffe, pytorch)

You’ll get some bonus points if you have experience with

Team management

Medical data, imaging, videos, etc.

FDA regulated computer vision solutions

Computer vision for video systems

Video action detection/segmentation

Production-ready computer vision solutions


Data Science Team Leader

Legal Automation
Legal Automation is an exciting, startup that helps legal firms and insurance companies to automate and leverage their data in innovative ways. We are recently locked our fund round and already working with a few big clients.
This is a unique opportunity to jump into an exciting and promising early-stage startup.  
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


* M.S. or Ph.D. in Computer Science, Mathematics or a related field.
* Academic background in deep learning, natural language processing, machine learning
* 4+ years’ experience in Deep Learning algorithms
* 4+ years’ experience with DL frameworks (e.g. TensorFlow, PyTorch, Mxnet, Caffe, etc.)

Job Description:
● You will be responsible for developing new algorithms to solve exciting computer vision
challenges reducing our customers manual work, from survey analysis to flying drones

● To solve these challenges you’ll need to combine approaches from multiple disciplines:
Deep Learning, object detection and classification, photogrammetry, 3D mapping,
geometry, image processing, optimization algorithms and more.

● Your work will range from early research and feasibility studies, through algorithm
definition, software implementation and integration to getting feedback from the field and
improving performance in the real product

● You will team up with an agile team of experts working in cutting edge software
development methodologies, to deliver quality software to our customers

● M.Sc / PhD in Electrical Engineering or Computer Science

● At least 5 years of professional experience developing computer vision algorithms

● At least 3 years of hands-on experience programming in C++/Java/Python

● At least 3 years of experience with deep learning for computer vision problems

● Hands-on experience with the following: Tensorflow/PyTorch/Keras and OpenCV

● Experience in delivery and maintenance of algorithms to real products

● Can work independently under loose guidance

● Business-fluent English Nice to have

● Experience with GIS, photogrammetry and 3D mapping algorithms

● Extra bonus: love drones

About Us

Riskified is the world's leading eCommerce fraud-prevention company. We use cutting-edge technology, machine learning algorithms, and behavioural analytics to outsmart eCommerce fraud and help our merchants grow. 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

The Core Data Science team is responsible for the core algorithms and models used at Riskified. Data scientists in the team use a wide variety of advanced techniques to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory and more). In addition, the team designs and develops the model training framework, which is used by other teams to train and evaluate machine learning models at Riskified.

As a senior data scientist in the core data science team, you will develop the next generation of algorithms designed to help the company battle fraud, be a professional focal point for other data scientists, stay on top of new methodologies and algorithms.

What You'll Be Doing

  • Initiate, design and develop the algorithms that will leapfrog the company with the next generation of fraud solutions
  • Collaborate with research teams to provide innovative solutions to teams across the company
  • Mentor our great team of data scientists


  • 5+ years experience as a data scientist, applied researcher or similar in the industry
  • MSc (PhD – advantage) in computer science, mathematics, physics or similar
  • Expert in ML techniques – hands-on & deep theoretical background, including: regression, classification, clustering and other non-supervised methods, imbalanced data sets
  • Hands on & theoretical expertise in at least one of the following: NLP, Deep Learning, Time Series Analysis, Graph Theory
  • 3+ years hands on experience in R and/or Python
  • Knowledge in statistical tests
  • Excellent communication skills
  • Amazing team player & fun to work with
  • Startup experience – advantage

Data Scientist

Via Transportation

We are Via – Ride with us!

Via is developing the operating system that manages and controls shared mobility at scale.
Our platform provides many millions of rides to consumers in NYC, Chicago, Washington DC, London, Berlin, Amsterdam and many more locations.
We are helping cities transition their bus systems from rigid lines and fixed schedules to on-demand networks of dynamic shuttles.
Our Tel-Aviv office is full of passionate and innovative professionals who love working together to make something great.  If you are up for a challenge and have a true desire to make an impact – Come ride with us!

The Position: 

We are looking for a Data Engineer to join our R&D center in TLV.

The position is to be part of a Development team responsible for Via’s mission.

As a Data Engineer you will help enables mass-scale, highly complex and data intensive operational service alongside cutting-edge algorithmic and analytics research for our full scale, multi location ride sharing service.


  • Defining and implementing effective data scaling infrastructure solutions based on best-in-class standard tools.
  • Driving speed, simplicity and robustness in production deployments.
  • Implementing data-rich system components at the core of system scaling.
  • Designing the ETL procedures to transform the concepts you design into reality.


  • BSc. Computer Science/Software Engineer/ Industrial Engineer-Information Systems or similar
  • 4-5 years of professional experience
  • Have a solid background in databases, data warehouses and at least one object oriented programming language.
  • Are familiar with cloud-based deployment (AWS or other platforms).
  • Fast learner: you can quickly master concepts, disciplines and methods.
  • Team worker: you understand the goals of the team and work towards them.
  • Pragmatic: you hear about a difficult problem and are able to transform it into a simple one (or more) that you can easily solve.
  • Concise: you get stuff done, in a simple, elegant way.

IBEX is developing state-of-the-art artificial intelligence applications for cancer diagnostics. Our cutting-edge deep learning and computer vision technology is transforming the diagnosis of cancer, leading to rapid and accurate decision making and providing new diagnostic insight to improve patient outcomes and quality of life.

We've recently locked series A which brings our funding to $13.6M, and we plan to enforce our R&D with exceptional engineers to take our platform and algorithms to the next level.

This is a unique opportunity to use your technological abilities in order to save lives, literally.


Job description:

We’re looking for experienced top-notch Data Scientists and Machine Learning experts to help us build and improve our core algorithms and to develop novel cancer diagnostic tests. In this role, you’ll work on huge, unique datasets of high-resolution pathology images and clinical records from leading institutes worldwide, develop and optimize AI-based solutions for complex problems using cutting-edge technology, integrate your algorithms into our products and receive feedback from clinicians using them in live clinical settings, and work closely with our multi-disciplinary team of Machine Learning experts, experienced software developers and medical professionals.



  • PhD or MSc in Computer Science or relevant discipline
  • Deep knowledge of algorithms, statistics and Machine Learning
  • At least 5 years of industry experience, working on large-scale projects
  • Ability to design and develop production-level code
  • Experience with at least one of Python, Java, C++
  • Experience with Deep Learning and/or Computer Vision – an advantage


ThetaRay is looking for an Applied Data Scientist for customer-facing projects that combine data science with deep knowledge and understanding of machine learning and big data technologies to create solutions for customers’ challenges and needs, defining and developing appropriate technical and business solutions. The Applied Data Scientist will work closely with ThetaRay’s Product Management, Algorithm, Engineering and Customer Success teams.

Key Responsibilities 

• Deliver successful deployment and Pilots

• Manage and design the Customer-specific technical solution throughout the project life cycle.

• Work on various data sources and apply sophisticated feature engineering capabilities

• Bring and use business knowledge

• Extract insights and actionable recommendations from large volumes of data and Investigate anomalies in Big Data

• Build and manage technical relationships with customers and partners.

• Provide product requirements input to Product Management team

• Train the customers on the system – system usage and monitoring aspects.

• Willingness to travels 30% abroad to customers as needed



• Must have proven professional experience in data analytics for financial services with strong data mining and forensic skills

• Experience working with customers. Advantage – financial customers

• Must have Hands-on experience and knowledge of scripting languages: Python/PySpark

• Hands-on experience using Big Data and statistical analysis tools such as Hadoop/Spark , SQL, and Matlab

• Working experience with Linux OS (Redhat/Ubuntu).

• Excellent English (speaking, presenting, reading)

Core Competencies

• Able to solve tech problem for customers; improvise; cope with unexpected challenges

• Able to drive relevant internal functions to deliver/solve a problem for customers/partners

• Ability to design creative solutions for complex requirements

• Ability to learn independently and to work with minimal supervision at customers’ sites

• Strong interpersonal relationship building

• A motivated, self-starter who can demonstrate above average analytical and technical skills

• Ability to execute multiple projects and drive key business results under tight deadline.

Data Scientist


Data Scientist

Bigabid is a fast-growing startup founded in 2015 by an experienced team of serial entrepreneurs and backed by some of the most prominent angel investors in Israel.

One of our goals at Bigabid is to disrupt the $200B App Marketing industry with an innovative User-Acquisition and Re-engagement platform powered by machine learning.

We use a wide range of state of the art ML techniques to analyze TBs of data and profile hundreds of millions of users through multiple proprietary data sources.

We are looking for an experienced Data Scientist, who is passionate about exploring complex data sets, drawing meaningful insights from such analysis and building high quality data products.


  • Analyze huge amounts of complex data to identify meaningful patterns and build useful features for machine learning models.
  • Perform analytics and develop models using diverse data sets.
  • Build predictive models using advanced ML techniques.
  • Apply scientific method to design, create, tune, and interpret machine learning models.
  • Write production code in python and Spark.
  • Design and execute tests to derive insights.
  • Perform data manipulation, validation and cross-domain researches.
  • Come up with new and creative research ideas and insights.
  • Collaborate with product and engineering teams to solve problems and identify trends and opportunities.


  • At least 3 years of work experience in industry building predictive models using ML techniques.
  • Strong critical thinking and analytical skills.
  • High level scripting and programming skills preferably with Python/Scala.
  • At least BA/BSc degree in a quantitative discipline such as computer science, statistics, economics, bioinformatics, information systems etc.
  • Troubleshooter, problem-solver who knows how to navigate trade-offs.
  • Excellent communication skills.
  • Advantages –
    • Work experience as a data analyst.
    • Experience with machine learning models.
    • Experience with Spark and the AWS stack.

Ready for the challenge?

Contact usadi.r@bigabid.com

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