Valerann is a rapidly growing AI mobility scale-up with offices in Israel, the UK, Spain, and the US.

We are a diverse and driven team that is making the road-based transport sector safer, greener, and more equitable through our unique AI and data analytics platform.

We work with governments and the world’s largest road operators to make our roads better. Our product already serves roads in Europe, the US, Latin America, and the Middle East and helps road traffic authorities to have a good understanding of real-time traffic conditions and risks.

We do that through data, a lot of data. Our algorithms constantly ingest and process very large sets of structured and unstructured data coming from a broad range of disparate data sources, including connected vehicles, cameras, and crowdsourcing platforms. Our know-how is in deep data fusion and analytics. Our passion is to empower our customers with the tools to use data to make our journeys safer and greener.

We have made tremendous progress to date, and we need your help to support our growth

We are looking for an experienced Senior Computer Vision Engineer.

You will be working within our Computer Vision Team to maintain computer vision backend services, tune existing algorithms for new deployments and develop new solutions to complex problems.

This is a unique opportunity to make a real difference in a company that delivers enormous social value at scale. Join us on our mission to make every journey on every road safer and more seamless.

Your main responsibility will be supporting existing computer vision solutions, with a secondary aim to support the development of new computer vision solutions.

This includes:

• Supporting our clients and investigating issues, tuning parameters to improve the value that we provide to our clients, and the overall cost of our services.
• Investigating false positives, recreating them in test cases and developing methods to overcome them, without compromising true positive rates.
• Analyzing thousands of real-time video feeds, detecting and predicting traffic issues to help save lives, reduce congestion and decrease emissions.
• Deploying algorithms to live production environments in the Cloud using automation tools to test, build and rollout new versions.
• Being involved in the wider team: working on Python, supporting other team members with APIs, discussing/critiquing/planning architectures etc.

Requirements

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• Hands-on experience in developing/researching image and video processing algorithms using both traditional image processing techniques (e.g. homographies, image matching, FFTs, filters) and modern deep learning algorithms.
• 4+ years of Python experience, using libraries such as OpenCV, Numpy, Sklearn, PyTorch.
• Experience in developing production-ready, real-time, optimized, scalable, machine learning services in Cloud environments using technologies such as AWS, Kafka and Docker containers.
• Proven experience with developing classical computer vision systems to solve real-world problems (e.g. people tracking, facial recognition, cell counting)
• Ideally, proven experience in implementation of deep learning algorithms on real-world vision projects. (e.g. object detection, multiple object tracking, etc.)
• Additional experience in areas such as 3D geometry, H264 video compression, YOLO and Cuda is advantageous.
• Fluency in English with excellent communication skills, experience in working in Agile teams with multiple stakeholders.

You should:

• Have a relevant academic background including theoretical and practical knowledge of image processing and deep learning.
• Be a team player, willing and able to contribute to any area of a cloud system.
• Enjoy fast-paced start-up environments working in small agile teams, as well as taking initiative.

*The company is an equal-opportunity employer *