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.