Mid-Senior

Data Scientist

Bank Hapoalim

For team that "wraps" the bank's model developers, checks and gives recommendations for future work; We are looking for a creative worker with self-taught ability and charisma.
The work includes reading articles, analytic advisory, performing comprehensive tests (explainabilty, overfit test, calibration tests and stability) on the model and theoretical tests driving to conclusions for new methodological directions to the model developers like changing metrics, algorithms, encodings and so on.
The role is very open and enabling, but it also has a frontal part with the need to present and motivate the findings

Job Description
Validation and research with regard to models for rating credit, collection, detection, prevention and investigation of fraud and embezzlement (anti-fraud), money laundering and models in the field of sales and marketing using mathematical / statistical / algorithmic tools, including reconstruction and development of models for the purpose of benchmarking (challenger models). The work is done vis a vis large databases and a variety of business information.
• Development of risk quantification methods and research in order to enhance the methodology
• Investigate the information used as input and in favor of calibrating the parameters for models
• Providing professional opinions and producing executive management reports
• Existence of intensive work interfaces with the bank's stakeholders, subsidiaries and branches abroad, the Supervisor of Banks, accountants and auditors,legal advisors leading consulting service providers in Israel and abroad and more.

Requirements
• Master's degree in scientific degree – a significant advantage
• Experience working with large DBs and working with SQL – required
• Experience in developing models – required
• Python SAS R MATLAB – required
• written and ability to express at an advanced level
• Proficiency in English

Convizit’s advanced AI technologies are revolutionizing how user behavior data is collected, structured and analyzed.

As a Lead Data Scientist, you’ll be leading an awesome multidisciplinary team of engineers and data scientists who are responsible for the most advanced visitor activity tracker in existence. Our tracker processes millions of online user actions, worldwide, every day. The resulting structured datasets are the most comprehensive ever generated for user behavior analysis and insight extraction. You will develop data-driven approaches and products that are changing the face of user behavior analytics.

What You’ll Do

Lead a team of top-notch data scientists and ML engineers

Collaborate with product management to understand company needs and devise possible solutions and models

Research, plan and implement custom data models and algorithms to apply to our unique data sets

Develop processes and tools to monitor and analyze model performance and data accuracy

What You Have

Ph.D. or MSc in Computer Science, Statistics, Mathematics or other related field

5+ years of experience as a data scientist or similar role with a proven track record of implementing data science algorithms in commercial products

Experience leading data science teams or projects – a must

Experience with time-series data – an advantage

Experience with unsupervised and semi-supervised clustering algorithms – an advantage

Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.), the theories behind them and their real-world advantages/drawbacks

Great knowledge of, and hands-on experience with, Python and R

Practical experience with big data processing engines (such as Spark or Hadoop)

Experience with structured and unstructured data

Practical experience with relational and NoSQL databases

Excellent business understanding, problem-solving abilities, and organizational skills

Experience working with web behavior analytics, process mining or NLP – an advantage

Who You Are

Innovative and creative, you love to learn new things and find creative solutions to challenging problems

A natural leader, you are charismatic, responsible and accountable

You love to look at the big picture and help lead teams to successful outcomes

A great teammate, with excellent communication skills, who loves to collaborate with others

Agile, you adapt quickly to changes and thrive in a fast-paced environment

Have you ever dreamed of working in a B2C startup that combines Sport, Deep technology, and a "Pink" style?

Join a fast-growing mobile AI startup, located in the heart of Tel Aviv, and be a part of a small group. Our first product is the world’s first Computer Vision mobile application for fitness training. fitV brings real-time workout feedback capabilities, uses the smartphone camera, that helps trainees to boost their workout anyplace and anytime.

We’re a seed-stage funded startup, launched in 2019, and our investors are key players in the global sports industry.

We are looking for a talented ML ops engineer:

You will be leading the development of our core AI technology, working side-by-side with our algorithm engineers and our mobile developers, developing infrastructure for the full ML pipeline from data pipeline ETL, preprocessing, versioning, through training and optimization, to wrapping and deploying in production on mobile platforms. Eventually, you will have full responsibility and ownership of developing and maintaining the ML solution pipeline, you will take a significant role in the company’s core tech. 

We want to know if you:

  • Love sports (a big plus!)
  • Have extensive software development experience of deep learning solutions in the computer vision domain
  • Have experience in deploying and integrating ML solutions in production environments (mobile environment – an advantage)
  • Hold B.Sc in CS/EE/CE majoring with ML/DL projects
  • Are experienced with ML developing environments and cloud service providers (AWS/Azure/GCP)
  • Are experienced working in Linux environment and writing shell scripts

We offer:

  • A technology and engineering-driven culture that treasures talents and individual's growth
  • International environment with flexible working conditions
  • Hard work with many many challenges that will boost your level and skills
  • Competitive compensation package

About the company 

Foresight AKA Foresight Autonomous Holdings Ltd. (NASDAQ and TASE: FRSX) is a growing startup company that develops solutions and safety features for the autonomous driving industry. 

 

Deep Learning Developer for Computer Vision Applications 

Job descriptions   

Expert in computer vision and deep learning. Working as a part of a cutting edge algorithms team. Will be responsible for researching state of the art models to solve problems in the autonomous car world. Accelerating and improving neural networks for real time applications. Working with large data and video streams. Leading the implementation of the feature by SW team. Occasionally writing patents and scientific articles and display at conferences.  

 

Technical knowledge:  

  • 5 years at least of experience of algorithms development  
  • 3 years at least of experience in deep learning development 
  • Excellent programming skills in Python, C/C++   
  • Experience working with dockers / conda environments  
  • Experience with Computer vision: stereo/ registration/ denoising/ augmentations etc.  
  • Experienced in using Deep learning frameworks: TensorFlow, Keras, PyTorch  
  • Good understanding of CNNs for vision tasks like:detection, segmentation, regression etc.  
  • Hands on experience with embedded systems – Advantage  
  • Experience in TensorRT / CUDA / network acceleration methods – Advantage  
  • ADAS (Advanced Driver Assistance) experience – Advantage.  
  • Working with video – Advantage.  

   

Qualifications:  

  • M.Sc. in Computer Science / Electronic Engineering / Math – Mandatory 
  • PhD – Advantage 

 

 Other  

  • Willing to commute to Park Ha'Mada Rehovot (accessible by train) 

TL;DR:

Imubit is looking for a top-notch research engineer to help disrupt the manufacturing world with breakthrough deep learning algorithms!

About us:

Imubit is revolutionizing manufacturing paradigms with specialized deep learning algorithms developed by world-class machine learning scientists. At this very moment, facilities of multiple Fortune-500 customers across the world are being optimized by Imubit, enjoying hundreds of millions of dollars per year in total incremental value. The company was founded by award-winning scientists, elite IDF tech unit graduates, and serial entrepreneurs. It is backed by Silicon Valley VCs and already has very significant revenue.

Our R&D center is located at the new Imubit building near Modi'in train station, easily accessible from a variety of locations (Gush Dan to Jerusalem).

We are looking for:

You, a top-notch research engineer, to join our core algorithms team, and develop deep learning algorithms unlike anything the world has ever seen. This is a one-of-a-kind chance to be on-board an extremely successful and fast growing startup at an early stage, get exposed to various technological and scientific disciplines, and work with world-renowned experts in machine learning. As part of our core team, you will have the opportunity to develop to executive positions.

Requirements:

BSc in CS/EE/Math/Physics from well-known university, with GPA > 90/100

Hands-on SW development experience, strong Python background

Education in machine learning at least at the level of advanced academic courses

Practical experience with deep learning on TensorFlow/PyTorch

Advantage:

MSc in machine learning or related area

Experience with deep learning for time series data (e.g. RNN/LSTM) and reinforcement learning

Experience with training neural networks in cloud environments (GCP/AWS) and distributed systems

Experience/education in signal processing and/or control theory

Axon Vision is a world leader in Computer Vision based Deep Learning. Our main mission is to use AI to help save soldiers' lives and assist them in the field.

Axon Vision's product, called Edge 360, runs in real time on edge sensors and platforms, such as drones and armed vehicles, and enables autonomously of mission-critical tasks and abilities.

Edge 360 maps, analyze and predict the surrounding environment using state of the art Deep Neural Networks.

Axon Vision is working side by side with the most elite research groups in the iIndustry and the military.

An Edge360 deployment example is the national Carmel project.

We are looking to expand our family of experienced engineers and software developers.

Our core product team develops, research, builds and deploy the most complex and advanced Computer Vision pipelines on edge devices.

Working on amazing applications with platforms manufacturers and the military.

Team responsibilities include:

  • Deep Neural Network training and productization
  • Image and video processing algorithm development and optimization
  • Developing on our in-house Video Processing pipeline framework
  • Complete system engineering for specific needs. Calibrating many algorithms together

Requirements:

  • MSc. in Computer Science or related discipline with a strong background in Artificial Intelligence.
  • Strong and proven experience in research and developing deep learning solutions in the computer vision domain.
  • Strong programming skills and experience in Python and C++
  • Ability to quickly analyze complex systems and solve problems
  • Proactive, can-do attitude.

Our HQ is located at the We TLV Tower, 5 min walk from Savidor train station.

Axon Vision is a world leader in Computer Vision based Deep Learning. Our main mission is to use AI to help save soldiers' lives and assist them in the field.

Axon Vision's product, called Edge 360, runs in real time on edge sensors and platforms, such as drones and armed vehicles, and enables autonomously of mission-critical tasks and abilities.
Edge 360 maps, analyze and predict the surrounding environment using state of the art Deep Neural Networks.

Axon Vision is working side by side with the most elite research groups in the industry and the military.
An Edge360 deployment example is the national Carmel project.

We are looking to expand our family of experienced researchers and engineers.
Our core research team is looking for Seniors Deep Learning Engineers that are knowledgeable in Computer Vision and Deep Learning, and experienced in research and programming.
The research topics the team works on include:

  • State of the art Computer Vision models
  • Deep RL for autonomous machines (from small to very large ones)
  • Domain Adaptation and transfer learning between camera modalities (IR and Color)
  • Knowledge distillation and NN compression

Requirements:

  • MSc. / PhD in Computer Science or related discipline with a strong background in Artificial Intelligence.
  • Strong and proven experience in research and developing deep learning solutions in the computer vision domain.
  • Background in reinforcement learning (RL) – big advantage
  • Strong programming skills and experience in Python and C++
  • Ability to quickly analyze complex systems and solve problems
  • Experience in experiment design and data analysis to test hypotheses and validate models
  • Proactive, can-do attitude.

Our HQ is located at the We TLV Tower, 5 min walk from Savidor train station.

At Globality, we’re proud to embody the core values of innovation, collaboration, and trust in both our culture and product.

We’re creating ground-breaking technology utilizing a world-class, AI-powered Platform that revolutionizes how businesses buy and sell services. We are an open, inclusive, and diverse organization and our employees are at the heart of the great products we create.

We’ve raised over $172M an are supported by an impressive group of prominent investors, including Al Gore and SoftBank Vision Fund. Our co-founders, Joel Hyatt and Lior Delgo, are seasoned entrepreneurs who bring an extensive business-building experience to our organization. Our impressive board includes Dennis Nally (former Global Chairman of PwC), and Ron Johnson (former SVP of Apple).

We’re excited to deliver the best in both innovative technologies and customer-focused experiences to realize our mission of creating a more inclusive global economy. Come help us build something great!

Role Summary:

We are looking for a top NLP research scientist, who is seeking to innovate, exhibit strong ownership and accountability, and work with colleagues in Israel and abroad, as we continue to improve our ground breaking platform. Your role will be that of the applied researcher, but also that of the hands on innovator and the product and business facilitator. You’ll be leading projects from ideation, through solutioning using AI techniques, to deployment.

We're looking for a self-learner and a team player to help us set up and grow the new Tel-Aviv office! If you have extensive experience dealing with real world NLP problems, are well versed with deep networks and ML core – we want you!

What you will be doing:

Researching: take on a problem area, ingest and evaluate state of the art solution approaches, become the in-house expert on the subject and how to utilize it for our needs

Innovating: solve tough NLP problems, work with big data, small data and common sense to create out of the box solutions.

Collaborating: be a primary contributor to the design and implementation of our core NLP-powered products. Work with other data scientists, as well as with engineers, product and sales to drive products from ideation to deployment.

Learning: our offices span the globe, and you’ll be learning from, and also teaching, other veteran data scientists and engineers.

 What we're looking for:

PHD/ M.Sc. in Computer Science/Mathematics/Physics/Engineering or equivalent relevant field

At least 2+ years of hands on experience working as an NLP Data Scientist.

Diverse experience with ML, having worked with deep networks, model development, statistics, data visualization, optimization, and software development.

Proficiency with Python data stack: Numpy, Pandas, Scikit-Learn, PyTorch or Tensorflow.

Familiarity with modern NLP techniques (BERT, GPT-2 etc.), and modern NLP libraries e.g spaCy, torchtext, (pytorch)-transformers (GPT II, XLNet, BERT)

Experience collaborating cross functionally in the development of machine learning products (e.g. FE and BE Engineering, Product, Sales, etc.)

Self-starter, independent and innovative

Great English communication skills, both written and verbal.

We are an equal opportunity employer. We believe diversity makes teams better and that discrimination based on race, gender, or anything else is self-defeating.

Here at the CV team at Innoviz, we develop state-of-the-art computer vision algorithms that address the various perception tasks required for autonomous vehicles. We implement, evaluate and improve upon cutting-edge research, using a mix of classical and machine-learning methods that work in the point-cloud domain, while working on our sensor’s unique, proprietary data.

These days, the team is expanding, and looking for top-notch Computer Vision Researcher to join our team.

The professional we are looking for should be an experienced Computer Vision engineer, a team player provide innovative solutions and deliver state of the art results.

Requirements-

·      Solid background in Computer Vision: 3+ years of experience developing Computer Vision Algorithms

·      Solid software skills

·      Experience with data driven solutions

·      Experience with 3D Geometry and Data – an advantage

·      Experience with Python and Object Oriented practices. OpenCV, C/C++ – an advantage

·      Experience in optimized implementation and/or algorithm design for Embedded platforms is an advantage

·      Excellent communication and teamwork skills

·      Passion for cutting-edge technologies and product delivery

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

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 prioritise 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 engineering 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

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
  • Extra time off for parents and caregivers
  • Team events, fully-stocked kitchen, yoga, pilates, basketball, soccer, and more
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