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.

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 our Head of Data Science, you will be managing our Machine Learning / Deep Learning / Data Science functions. You are a Data Science beast – you are comfortable with all major areas of machine intelligence, including Computer Vision, NLP, Tabular Data, Time Series, and Reinforcement Learning. You are a Deep Learning enthusiast, however, you understand that, sometimes, good old ML modeling and feature engineering perform much better. Your understanding of Statistics is better than 99.8% of the population (95% confidence interval = 99.7% – 99.9% 🤓).

What’s this job about?

As our Head of Data Science, you will be responsible for:

• Translate our clients’ broad requirements into well-framed Data Science challenges.
• Build plans, as good and detailed as possible, for Data Science projects, from idea to production, while fulfilling a set of constraints (budget, time, data, and more).
• Adapt and improvise as those plans collapse and fail to meet the real-world (they always do).
• Develop and train, by yourself, rapid prototypes and proofs-of-concept to test new ideas and to explore their feasibility and their potential value to relevant stakeholders.
• Drive the end-to-end execution of our Data Science projects process, 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.
• Manage end-to-end Kaggle-style Data Science competitions, on behalf of our clients.
• Lead and mentor our enthusiastic and talented, but less experienced, Data Scientists – through example, evidence and clear communication. You are expected to be the patient mentor and the over-achieving pace-setter – at the same time!
• Build our team. If all goes well, you are expected to grow our Data Science team from 3-4 Data Scientists to a team of ~10 – in 12 – 18 months.
• Pursue business opportunities. We don’t hire salespeople. Our managers drive sales through intimate communication with our clients. You are expected to assist our customers to thoroughly understand the value of hidden potentials that can be unleashed by hiring us.
• Maintain a highly cross-disciplinary perspective, solving issues by applying approaches and methods from across a variety of Data Science disciplines and related fields.
• Continuously evolve yourself by keeping up to date with the latest Data Science, Machine Learning & Deep Learning technologies.
• You’ll be reporting to our CEO and will be a part of our management team. You are expected to actively take part in forming the company’s growth strategy.

Requirements

Personal

You flourish when you are surrounded by talented, sharp-minded people.

You think big – but you are everything but a bigshot. You love doing things yourself. You like mentoring others. You’ll never take a job that doesn’t have a significant hands-on portion.

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.

You are a competitor. “Bestfitting” Kaggle winner is your role model.

Technical

Deep technical expertise in Data Science, Machine Learning, and Deep Learning.

MSc or equivalent experience in a quantitative field (Computer Science, Statistics, Mathematics, Engineering, etc.)

At least 5 years of successful, hands-on, Data Science positions.

You can code. Your code quality meets the typical Software Engineering standard (and not only the typical Data Science standard).

Proficient in Python.

Experience with machine learning frameworks and libraries (Tensorflow, Pytorch, Keras).

An all-around data scientist: strong statistics background, experience in experimentation, data visualization, machine learning algorithms, optimization, and big data.

You are comfortable at reading academic papers and reproducing their results.

Our Process

If you want to apply, please send your CV or Linkedin URL to hr@webiks.com.

Please write “Head of DS application” in the email subject line.

Please attach to your email at least three links to three of the followings:

A paper you have published (arXiv included).

A technical blogpost you have written (English or Hebrew).

A lecture/presentation you gave in a meetup/course/conference.

A Kaggle competition you have participated in and scored well.

An open-source project you have contributed to.

A Jupyter / Colab notebook you have published.

Smadar, our HR manager will then contact you and set up an introductory call. If relevant, we will then set up a meeting with Omer, our CEO, and together we will take it from there.

BeyondMinds is looking for a motivated and experienced Data/ML Engineer to join our team and help us build a state-of-the-art system, to solve the most challenging problems on top of our core product. Our product is based on a unique approach for modular AI R&D process – enabling us to solve the most complex AI problems in a scalable way, breaking most of the barriers in implementing AI solutions for mission-critical problems. We are looking for someone who can thrive in a fast-paced environment while being self-directed, creative and determined.

As the Data Science Director, you’ll be managing and growing a team of incredibly talented data scientists and researchers, and drive the successful delivery of Data organization NLP, ML and AI products while contributing to the strategy and the roadmap. This highly visible role reports directly to the Chief Data Officer, and is expected to effectively collaborate with a diverse group of peers across and at multiple levels of the organization. The successful individual will have proven ability to manage the data science team, delivering a variety of ML products.

The responsibilities of this opportunity include:

• Lead, coach and support a highly effective group of data scientists and researchers to foster a high performance culture
• Recruit world class talent and participate in the recruiting flow including attracting, screening, and closing high caliber candidates
• Build trusting relationships and collaborate cross departmentally to execute on company strategy
• Set the technical direction for the team, and make appropriate technology choices
• Work effectively with product managers, engineers, analytics and the leadership team to allocate the resources appropriately across various projects, including balancing customer needs with longer-­term product roadmap needs
• Travel internationally several times a year

A successful candidate will have the following qualifications:

• Academic background in data science, including NLP, machine learning and AI
• Proven experience in data science at startup and enterprise environments
• Demonstrated track record of successfully hiring, managing, coaching and retaining world-­class data science talent
• Deep technical expertise in natural language processing, statistical modeling, modern machine learning techniques, and experiment design
• Exceptional interpersonal skills with a proven ability to build productive cross-­departmental relationships and motivate team members
• A vision for what Data Science can and should be, as well as the ability to work with internal stakeholders to execute on that vision

FFRobotics is looking for a highly experienced algorithm and software developer in the field of computer vision to spearhead the development of its fruit-picker-robot vision module.

The Challenges include real time object detection and pose estimation of multiple fruit varieties in continuously changing outdoor environment (weather & lighting, unstable terrain, etc.).

Responsibilities includes:
1. Solution architecture design.
2. Development of object detection and pose estimation algorithms.
3. Software implementation & testing (both indoors and outdoors).
4. Management of junior developer and offshore “annotation services” provider.

The candidate should have a “startup mentality”
“Do It Yourself’ , team player, passionate about software development.
Willing and able to work long hours to meet short deadlines with a restricted budget, while placing utmost importance on good software engineering practices.

Requirements:

• BSc/EE/Math/Eng. from leading universities.
• Matlab
• C++: 2 years
• tensorflow
• 2+ years of experience as Computer Vision algorithm developer
• Deep learning proficiency
• 3D reconstruction
• Object recognition and tracking
• Segmentation

Advantage

• MSc /EE/Math/Eng. or MSc student from leading universities.
• Linux (ubuntu) proficiency.
• Real time programming & embedded software.
• Automated testing.
• Robotics & R.O.S.
• Multi-threaded applications.

In this role you will be a part of eBay’s global Buyer Experience research team. You will Combine strong software engineering principles with machine learning to build scalable learning workflows. Our team explores and provides solutions for extremely complex problems presented to hundreds of millions of users every day, by conducting research in the fields of Recommendation Systems, Machine Learning, NLP and Information Retrieval.

The main goal of the team is to bring personalized machine learning models to all eBay experiences, fitting the best experience to each of the hundreds millions of buyers. As a machine learning engineer you will be responsible for building the data collection pipelines, building the learning, testing and inference infrastructure and bringing the machine learning models to production.

Requirements:

• 5+ years of Java/Python/Scala development experience.
• Practical skills in querying and processing Big Data using Apache Spark.
• Experience with machine learning frameworks and libraries (SparkML, Tensorflow, Pytorch, Keras)
• Experience integrating data pipelines for machine learning
• Throughout understanding of ML and experience in deployment of ML models to production
• Advantage: Experience with Kafka, Flink/Spark Streaming and other Big Data frameworks.
• Advantage: Knowledge ML model management and deployment like MLeap , H2O , etc.
• Advantage : Experience with Docker/Kubernetes
• Advantage: Airflow

At BIyond, we utilize algorithms to process massive amounts of data in order to deliver the product’s core features.
We are currently expanding our team of Data Engineering and AI in order to handle the significant challenges of our customers.

We are looking for a Senior Data Scientist (NLP) to join our team.
One that truly loves data and is eager to use it to develop AI/ML products.

What you will be dealing with:
Implementing complex NLP and Text Mining algorithms on data stored in a variety of unstructured formats.
Handle free text and text extraction.
Parse and extract data from large text documents with complex formats.
Create templates for automatic extraction of data from similar formats.

Requirements:
4+ years of experience as a Data Scientist (NLP)
Hands-on experience developing applications using Python and Regex.
Proven work experience in NLP methodologies, solutions and algorithms.
Experience with Text Analytics, Text Processing and Text Mining.
Ability to take concepts in NLP literature and translate them to well-tested code.

We are united in the belief that our very human desire to explore the planet’s beauty and discover more about other people and cultures will endure. The world is waiting for us. Together, we will be ready.

As a Senior Manager of Machine Learning & AI you will be managing the ML science and ML engineering function for Booking.com’s ML Development Center in Tel Aviv. You are a deep subject-matter expert in multiple areas of machine intelligence (e.g. recommenders, optimisation, NLP, Computer Vision) and its implementation as an end-to-end product that generates direct business impact. You define the strategy and vision for how to generate outsized impact through automated intelligence in a broad product area by driving a research agenda and development plan from ideation to prototyping to full productionisation.

B.Responsible

• Translate broad areas of business problems into ML/AI challenges and develop a targeted research plan to identify the best approach within the constraints of the production environment.
• Develop the strategy for machine intelligence on a broad area by designing innovative ML/AI models, algorithms, and approaches that deliver both short-term commercial impact and longer-term differentiated business value and customer experiences.
• Independently define and build proof-of-concepts to test new ideas and demonstrate their potential value to relevant stakeholders.
• Drive the end-to-end execution of the ML/AI development process on products, from understanding product requirements, data discovery, model development and evaluation, to implementation of a full production pipeline for both batch- and stream-based deployment.
• Develop production-grade ML code for models, features, and pipelines, accounting for scalability, latency, realtime requirements, monitoring and retraining.
• Build readable and reusable code, using the right technologies and coding methodologies applying knowledge of business area tools and product needs.
• Create outsized impact for your work through carefully designed rapid prototyping coupled with strategic scale-up in production through the work of other teams.
• Drive platform-based development and reuse by coaching teams in abstracting individual business problems to generalized ML/AI products, rather than point solutions, and in identifying horizontal opportunities across multiple business domains.
• Maintain a highly cross-disciplinary perspective, solving issues by applying approaches and methods from across a variety of ML/AI disciplines and related fields.
• Mentor others through evidence and clear communication, explaining advanced technical concepts in simpler terms.
• Continuously evolve your craft by keeping up to date with the latest developments in ML/AI and related technologies and upskilling on these for yourself and others, as needed.

B.Skilled

• Deep subject matter expertise in one or more areas of ML/AI (e.g. Recommender Systems, Deep Learning, Forecasting, Natural Language Processing, Computer Vision)
• Ability to define a machine intelligence strategy on a product family by identifying short-term development steps that create immediate business value and build upon each other to create longer-term differentiation
• Ability to design an applied research plan from scratch as evidenced by peer-review publication or similar track record
• Ability to execute end-to-end research and development plans and generating impact through large-scale machine learning model development.
• Deep Relevant work or academic experience (MSc + 9 years of working experience, or PhD + 5 years), involved in the development and application of Machine Learning.
• Strong working knowledge of big data technologies
• Strong working knowledge of Python, Hadoop, SQL, R, Spark or similar technologies.
• Excellent English communication skills, both written and verbal.

B.Offered

We are a performance-based company that offers career advancement and lucrative compensation, including bonuses and stock potential. We also offer what we call the “Booking Deal” with unique perks and benefits. The Technology Department has regular hackathons, “innovation days”, training, and attends and speaks at global conferences.

This position is open to local candidates only.