About The Position

Requirements

What You'll Be Doing

About Us

About the Team

The Innoviz Computer Vision Embedded Software team is responsible for the development of the software composing our computer vision solution. The team is dealing with the architecture and implementation of the most advanced elements per the standards of the automotive industry, dealing with the most advanced solutions in object detection and classification.

Responsibilities

• As the Computer Vision Embedded SW Engineer, you will be responsible for:
• Implementing the embedded SW for computer vision elements in the embedded solution
• Optimizing the algorithms to fit the real time requirements of the solution
• Feeding the algorithm team with constraints and implementation details related to the embedded implementation

Requirements

• At least 5 years of experience in Embedded SW, out of which 2 years in Computer Vision programming
• BSc in Engineering / Computer Science
• Experience with CUDA programming – Advantage
• Experience in CNN frameworks – Advantage
• Experience in embedded Linux – Advantage
• Team player and highly motivated

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

Razor Labs (TASE:RZR) fuses the power of Deep Learning with human experience to unlock the next big leap in productivity, safety and sustainability improvements. Our AI-powered products transform industrial machines into smart ones, delivering direct business outcomes to organizations through automated decision-making and process optimization.

Our main focus is on key sectors of the Industry 4.0 revolution – Manufacturing, Chemicals, Resources and Utilities. Our experience, network of partners and expertise in these areas make us valuable partners to solve some of the world’s greatest challenges and achieve economic returns that were previously unachievable.

We’re seeking a Data Engineering Team Lead to:

– Manage, define, and implement testing policies, procedures, and standards across the Quality group.

– Take full ownership of designing, building, and deployment of data products.

– You will work with Deep Learning Researchers, Data Scientists and Product Managers.

– Create a new industry-altering product from its inception to production level.

Requirements:

– B.Sc. in Computer Science or another relevant scientific degree.

– Advanced knowledge in Python

– Experience with building data stream pipelines and ETL using Big Data frameworks such as Spark, Hadoop, Elastic, KubeFlow, SageMaker etc.

– Experience with working with NoSQL DBs and RDBMS.

– Experience with streaming and real-time analytics systems

– Full working proficiency with open source ML frameworks such as TensorFlow or PyTorch – an advantage

– Python ML libraries (e.g. Pandas, Numpy, Scikit Learn) experience – an advantage

– Understanding of CI/CD concepts in a production environment – an advantage

NICE Realtime Authentication (RTA) is looking for an experienced Expert Researcher to join our team for a full-time position.

As a researcher in our team, you will take part in advanced exploratory research.

If you are looking to be part of a dynamic team working on exciting and industry leader products, this is the job you’ve been looking for!

What you’ll be doing:

• The ranges of problems you will deal with include machine learning, deep-learning, clustering, speech/signal processing, diarization, speaker verification/recognition, fraud detection.
• The work is both analytical and experimental in nature and includes development and prototyping of new algorithms, fine-tuning state of the art models and evaluating their performance on extensive data sets.
• In this role you will cooperate with junior/senior researchers in identifying needs, defining the research topics and the desired outcomes as well as collaborating with researchers in the lab on joint tasks.

What you’ll need:

• MSc/PhD graduate in EE/computer science or related fields doing research in the fields of machine learning, clustering algorithms, deep learning, NLP, speech, dynamic programing.
• 5+ years of relevant industry experience.
• Experience in implementing algorithms using Python
• Experience in deep learning frameworks such as Keras, TF, CNTK or similar
• Good analytical skills and creative thinking
• Good system-level understanding of problems
• Independent and innovative with the ability to lead problem definition and goal definition processes
• Good communication skills
• Fluent in English

Would be very NICE if you have:

• Experience working with GPU-enhanced Amazon instances, EC2, S3.
• Knowledgeable regarding GPU hardware and drivers installation
• Experience working with ONNX

Would be very NICE to see:

• “Out of the box” thinker who is not afraid to “step out of your comfort zone” regarding research approaches.

If you have any of the below, we highly recommend adding them to your CV. We'd love to learn about what you've done so far

• A link to a post you wrote or an interesting presentation you’ve given
• Open source projects you’ve created or contributed to
• Interesting, non-trivial problems you’ve dealt with

Innovative algorithmic research and hands-on PoC (proof of concept) developments of Huawei’s unique cutting-edge autonomous driving technologies. Focus on sensing and low level vision sides. Such as video ISP, fusion of multi-modality detectors & self – supervised methods. Including collaborations with universities / Israeli-startups.

Job requirements:
o PHD, MSc in Computer Science / Electrical Engineer or similar fields from a leading institution.
o 2 years of experience with deep learning algorithms. Experience with Python and deep learning frameworks such as PyTorch, TensorFlow
o Capable of understanding current research articles in the fields of: Computer Vision, Machine Learning, Image and Video Processing & Autonomous Driving
Advantage
o Experience with Advanced Driver Assistance Systems (ADAS), Self-Driving or other automotive algorithms
o Experience with cameras technologies such as Image or Video Processing / Real Time 3A algorithms / camera’s ISP (Video / Image) algorithms
o Experience with Computer Vision algorithms such as Image Classification, Object Detection, Object Tracking, Semantic Segmentation etc.
o Background in depth sensors technologies such as LiDAR and / or unique imaging cameras such as non-RGB cameras and / or other detectors used in the automotive industry
o Background in 3D geometry-based / navigation algorithms
o Experience with C++, Matlab, Java, JavaScript, R.

SecuredTouch provides real-time, adaptive fraud detection throughout the customer journey to detect fraud early, with proven ROI from day 1. Our solution ensures accurate risk-based detection for multiple use cases including ATO, bots, and no-transaction fraud. SecuredTouch customers benefit from reduced overall fraud losses while maintaining a smooth customer experience.

Oh and of course, we’re also fun to be with 🙂

—

Are you ambitious?

Are you looking for a place to spread your wings?

Do you live & breathe tech innovation?

Job Description:

We are looking for a ML Engineer to join our growing team of Data Science. As a ML Engineer you will work with our Data Scientists, Data Engineers and Fraud Researchers on delivering fraud detection solutions, on a massive scale to top tier eCommerce worldwide. You’ll join a company with innovative teams, cutting-edge technologies, and leading solutions in the fast-growing behavioral biometrics field.

 Responsibilities:

• Developing & integrating machine learning based algorithms.
• Developing & maintaining micro-services infrastructure at large scale.
• Optimizing processes run-time and solving problems in a scalable manner.
• Push to improve the data collection & feature engineering validity and quality.
• Integrate new technologies into the current spec.

Required Skills:

• Bachelor degree in CS / SE / IS or equivalent.
• At least 2-3 years experience as a developer.
• Machine learning knowledge.
• Python knowledge.
• Hands-On experience with developing and maintaining production systems.
• Analytical mind, problem-solving attitude.
• Curious, Self-Taught, and Innovative.
• Able to learn quickly and adapt to changes.

Advantage:

• Experience with Cassandra, Redis, Kafka, Docker, K8s.
• Experience with AWS/GCP.

In the last two years digital communication world is changing. The constant demand for high data rate, reliability, short latency and spectrum efficiency can no longer be satisfied using traditional methods. New AI technologies are integrated into system mitigating this new high requirements
If you’re a problem solver who loves setting ambitious goals, PHY AI group Is growing and we have an opening for you in Natanya

In this role you will:

• Research, design and implement neural network algorithms
• Develop new AI solution that will enhance PHY performance
• Contribute to the teams methodologies

Requirements:

• M.Sc in Computer Science/Electrical engineering (PhD an advantage), further education or experience in engineering, computer science or other technical related fields
• 3-5 years experience in building ML/DL solutions in production
• Deep and broad understanding of foundation up to state-of-the-art machine learning, deep learning, reinforcement learning and statistical techniques
• Hands on experience in Python, PyTorch, TensorFlow
• Experience in manipulating data sets and building statistical models

Personal skills:

• Team player with good interpersonal skills
• Self-motivated with can do approach
• Ability to take responsibilities and reach targets
• Fast learner

OriginAI, is a new innovative AI center, the result of a collaboration between Nvidia, Axon-Vision, and Elbit Systems that was established to address challenges at the forefront of AI research at national scale
The AI Center, located at Tel-Aviv, will engage in research and development in the areas of Speech & Audio, Vision and NLP with the aim of producing world-class groundbreaking capabilities in these areas
The center is fully funded with direct access to the most advanced computing resources in the industry

Job Description:

We are looking for an experienced research and applied researchers to join the Speech & Audio group. The role involves the entire applied research flow, starting from literature surveys, innovation, AI development and solution deliveries for various real-life challenges in Speech, Acoustic-Scene-Analysis and Machine Learning
We provide a unique opportunity to work independently within a growing top talented team, stay up to date with the latest academy papers/conferences, and work on state of the art solutions for extreme challenges
Our new unique AI center will allow you to expand your comfortable zone and work on multi-modalities problems together with NLP and Vision groups

Requirements:

• Ph.D / M.Sc. in Electrical Engineering / Computer Engineering / Computer Science.
• Cum laude from top universities – advantage
• Experience in ASR/STT – advantage
• Former research position – advantage
• Experience in Beam-Forming and classical speech processing algorithms – advantage
• Team leaders / Technical leaders experience – big advantage