Deep learning

Trax is looking for a Junior Deep Learning Algorithm Developer to join our Computer Vision group at Trax. This person will train deep learning models, solve problems in the field of DL and develop algorithms. This person will be a member of an algorithm research group and report to the Deep Learning engines Team Leader. This job is a great opportunity for talented junior candidates who want to gain practical experience and elevate their knowledge in the field of Deep Learning.

  • At least 3 years of experience in programming – Python an advantage
  • Strong analytic and problem-solving skills
  • Passion for learning, especially in the field of Deep Learning
  • Excellent self-learning abilities
  • Knowledge in Deep Learning – an advantage
  • BSc in Computer Science/ Mathematics/ Electrical Engineering or similar field – must
  • Msc in Computer Science/ Mathematics/ Electrical Engineering or similar field – an advantage

Meet Rupert.

We’re a group of engineers and data fanatics, with a combined experience of close to 30 years working for world’s top institutes and organizations. We are building a product that will change the way businesses utilize and consume data.

In order to do that, we’re developing new ways for data teams to work with the organization’s data assets (datasets, reports, etc) and deliver insights and analyses to business users. We’re working on cutting-edge technology like semantic parsing of text-to-sql for our product.

The ML team is based in Tel Aviv and led by Ben Bogin, with the help of our advisors, leading researchers and academics. We’re looking for a key hire to join the team, who will work on actively-researched NLP problems such as semantic parsing, intent-recognition, semantic textual similarity and more. We expect you to lead end-to-end research and development on big bets we’re making in order to deliver a unique platform that can capture a big piece within a massive market. 

What we need.

  • M.Sc. / Ph.D. in CS / NLP / Machine Learning / equivalent practical experience.
  • Experience with NLP methods using Deep Learning. Good understanding of current work in this field (Language Models, Seq2Seq models, transformer models etc.) and experience with pytorch/tensorflow is a must.
  • 3+ years hands on experience in developing NLP based products.
  • 3+ years of hands-on programming experience.
  • Experience with building production quality deployment of applications related to natural language processing – Advantage.
  • Knowledge of machine learning techniques and algorithms and the ability to apply them in data driven natural language processing techniques.
  • Startup attitude. A person who understands the limits and opportunities of working lean, while moving fast and keeping it cool in an environment with different opinions and diverse characteristics. 
  • A creative mind, a problem solver, who doesn’t fear trying out new approaches, methods, tools, and technologies in order to achieve results.
Hi all,
We've just been funded and I am looking for our first key algorithm guys/gals to join us.
We're looking for:
  • Those very well versed with Computer Vision, both classical and Deep Learning based
  • Those who are both hungry and a joy to work with
We offer:
  • The opportunity to work with a super strong founding team
  • Join as one of the first 5 employees and make a real impact
    (You'll literally be the first to lay the foundations of our solution)
  • Be part of the nuclear family

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.

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.

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.

Every cancer patient wants to know that their diagnosis, and the corresponding treatment, is determined with the utmost precision, and preferably with the most advanced technology. At Nucleai, we bring cancer patients cutting edge AI-based technology, by improving biopsy interpretation with machine learning and by creating novel precision medicine technology. We are looking for experienced machine learning / computer vision researchers to join our core team.

It is a great opportunity to:
-Do something that really matters.
-Work with a top notch team on complex vision and prediction problems.
-Be a part of an early stage endeavor backed by top VCs.

Come join our team of experienced AI engineers and world renowned clinicians, and help us make a difference.

Job Requirements
-At least 3 years developing machine learning algorithms – must
-At least 6 years of hands on software/algorithms development experience – must
-Deep learning and computer vision background – big advantage
-Exceptional software engineers with passion for machine learning are also relevant.

Company overview:

Shopic is a revolutionary VC-backed startup, with offices in Tel-Aviv and New-York, disrupting the way people shop in retail stores. By leveraging technologies like Mobile, Machine Learning, Computer Vision and IOT, we’ve revolutionized the shopping experience in some of the largest retailers in the world. We offer advanced AI-supported mobile self-checkout, along with a clear roadmap to a full frictionless Amazon-Go-like experience, with a very unique approach and numerous tier-1 retailers around the world already signed up as customers!

We strongly believe that building a great product starts with building a great team of people who are smart, fun to work with, and are happy to share their knowledge with their colleagues. Teamwork is essential, egos are left at the door. We believe in work-life balance, and the challenging work that we do and the people that we do it alongside with, make our “work” an amazing part of our lives.

If you are eager to improve, learn and get plenty of responsibility, working at Shopic is a great opportunity to grow alongside a small yet fast-growing startup. You will have a chance to work with a great team of developers and entrepreneurs.

Job Description:

We are looking for an senior applied deep learning researcher/developer with strong and proven capabilities of building and deploying deep learning solutions in the computer vision domain.

Responsibilities:

Own the full development cycle – from researching a problem, defining the required dataset, implementing an efficient model, deploying it to production, and improving it upon the real-world results.

You will work on computer-vision problems such as object-detection, fine-grained classification, change-detection and more.

Use state-of-the-art open-source implementations and adapt/improve them to the project needs.

Requirements:

2+ years of industry experience in deep learning for computer vision, on multiple projects.

5+ years of industry experience in ML/DL/CV development, beyond the academy degree (for PhD 3+ years are enough)

Expert knowledge of at least one DL framework , such as TensorFlow / PyTorch / MXNet , and good coding ability in python.

MSc / PhD in Computer-Science, EE, Physics, Mathematics (or similar).

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