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 algorithm constantly ingests and processes 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 Computer Vision Algorithms Developer.
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 owning our computer vision services end-to-end ensuring their performance, quality and, availability.
This includes:
Working with our clients, customer success and product teams to understand the short term and long term needs of our business computer vision technology.
Leading the development of computer vision algorithms, managing a small team of engineers and data scientists.
Analyzing thousands of real-time video feeds, detecting and predicting traffic issues to help save lives, reduce congestion and decrease emissions.
Deploying these algorithms to live production environments in the Cloud using automation tools to test, build and rollup new versions.
Support our clients and investigate issues, tune parameters to improve the value that we provide to our clients, and the overall cost of our services.
Mentoring team members, and helping them overcome daily technical challenges.
Requirements
Hands-on experience in developing/researching image and video processing algorithms using both traditional image processing techniques (i.e. FFT, filters) and modern deep learning algorithms.
4+ years of Python experience, using libraries such as Open CV, Numpy, Sklearn, Py Torch.
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 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.
Excellent communication skills, experience in working in agile teams with multiple stakeholders; fluency in English.
You should:
Have a relevant academic background including theoretical and practical knowledge of image processing and deep learning.
Enjoy fast-paced start-up environments working in small agile teams, as well as taking initiative.