Mid-Senior

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

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

Responsibilities

Lead our platform to the next level

Leading and mentor our super talented algorithm team

You will plan, design, and carry through short-term applicative challenges as well as long-term research projects.

Provide input for future planning based on the area of expertise

Requirements

MSc in Computer Science or equivalent – Must

PhD – A plus

 Minimum 2 years of experience leading algorithms team – Must

Minimum 5 years of experience as an Applied Deep learning for Computer Vision Engineer – Must

Familiarity with toolkits for deep learning such as PyTorch/ TensorFlow – Must

Experience in leading a long-term data research projects from vision to implementation – Must

Skills

A team player with good communication skills, both written and verbal

Gets things done attitude

Excellent communication skills

EASTRONICS is the leading Israeli company in sales, marketing, services and support of innovative high tech products and solutions to the Israeli high-tech market with strong Design-in/Demand creation activities.

We are expanding our innovative solutions and setting up a team to promote hardware-based acceleration solutions, for applications and products that are making use of Machine Learning, and Deep Learning, algorithms.

If You,

  • Want to be part of an evolving team, where you get the chance to work with cutting edge technologies like machine learning and deep learning,
  • Excite to work closely and support customers who develop tomorrow's products
  • Enjoy solving complex problems

Then, Eastronics may be the place for you.

We are looking for an accomplished Field Applications Engineer (FAE) to be involved in pre-sales, demand creation activities and provide valuable support to innovative AI solutions.

As a Filed Applications Engineer you will work with customers to ensure successful solutions adoption.

This Includes

  • Pre-Sales Customer technical support
  • Post-Sales Customer technical support
  • Technical solutions demonstration and presentations
  • Technical Training Instructor
  • Technical presentations in relevant in public high-tech events and to large and small groups of engineers

 Basic Qualifications, Experience, Skills & Education Require

  • Bachelor’s degree in Electrical Engineering or equivalent
  • Strong English & technical communication skills (both verbal and written)
  • Strong interpersonal skills
  • Ability to "think on your feet" and use a "problem solving mindset" in stressful problem solving scenarios
  • 2-3 years of recent hands-on experience/background in implementing machine learning and deep learning algorithms
  • Understands and explains related technical issues, knowledge of solutions & products and potential applications.
  • Proficiency in C / C++ programming

SeeTrue is a leader in modern computer vision (CV) and machine learning (ML) practices.

The Algorithms team is in charge of creating cutting edge algorithmic solutions aimed to automatically detect a wide variety of threats within X-ray and CT security scans. These solutions will help the existing (manual) analysis/detection processes become faster and more accurate.

As a researcher on the team, you will get a chance to work alongside some of the best minds in the field and implement the latest ML and CV algorithms, in a multidisciplinary and dynamic environment.


Responsibilities:

  • Research, design and develop CV, ML and DL based algorithms to detect a wide variety of threats within X-ray and CT security images
  • Work with a multi-disciplinary team of security experts and engineers to deliver an end-to-end product: from the idea phase, through collecting and assessing the data, exploring algorithmic approaches, developing, testing, validating and integrating the algorithm in the production environment
  • Read and implement algorithms publications in the field of CV, ML and DL
  • Contribute to the team’s methodologies, best practices and toolset, share your work and give/receive feedback from peers in the team
  • Showing strong understanding of software development (in Python & C++) and using it to translate Algo ideas into bullet-proof software


Qualifications:

  • B.Sc. in computer science or electrical engineering
  • 3+ years experience in deep learning, preferably CNNs
  • Hands on experience with deep learning using common frameworks (Keras, TensorFlow, etc.)
  • Great problem-solving skills, and drive for creativity and innovation
  • High achiever, with determination and persistence
  • Strong communication and collaboration skills
  • Team player, positive and driven, fast learner
  • M.Sc. – advantage
  • Knowledge of C++ and system-level engineering – advantage
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