Computer Vision Engineer
Tel Aviv-Yafo, Tel Aviv District, Israel
Applications have closed
Valerann
Valerann is an innovative, cutting-edge, Intelligent Transportation Systems (ITS) SaaS company specialising in AI, Big Data and Data Fusion technology.Nobody can predict what driving will be like in 10 years. Are all vehicles going to be self-driving? Will traffic be controlled by a centralized system or a distributed one? Are we going to own cars at all? Whatever the future of vehicles will be, one thing is certain: All around the world we will need roads; modern, clean, safe, and intelligent ones.
Who are we?
Valerann is a growing Smart Cities start-up based in London and Tel Aviv. We work with the world's largest traffic infrastructure operators to empower them to become data-driven organizations. Through our work and partnerships, we look to reshape the way operators use data to make traffic safer, and more efficient, and support autonomous vehicles. If you want to be part of a dynamic and award-winning start-up and help shape the future of mobility.
We are looking for a Cloud Computer Vision Engineer to be part of our research effort and help push forward the state-of-the-art in intelligent transport camera systems. Your responsibilities will include:
- Collaborating directly with customers to onboard and integrate their camera systems.
- Owning the process of ingesting video and making it available to our algorithms and frontend.
- Maintaining and iterating a reliable, large-scale system with minimal downtime.
- Work with product managers and customers to identify and foresee future challenges.
Requirements
- Experience of networking protocols e.g. TCP/UDP, RTSP, HLS.
- Knowledge of video formats e.g. MPEG
- Experience working at scale.
- 2+ years of Python experience.
- Excellent communication skills and ability to work effectively in a team.
- Experience working with stakeholders of differing technical backgrounds.
- Familiarity with databases (e.g. SQL), software engineering (e.g. Bash, Docker, Kafka, GitHub etc.) and cloud (e.g. AWS, Azure, Terraform etc.).
- Experience working on complex, distributed systems with multiple steps in a pipeline.
- Enjoy working in a small, agile environment.
- Willingness to engage deeply with real-world applications and customer use cases.
Not Essential, But Beneficial
- Experience with GStreamer/FFMPEG.
- Some interest/experience in computer vision e.g. deep learning, object tracking, anomaly detection.
- Experience working with CUDA/GPUs.
- Experience with Test-Driven Development and unit/integration testing in general.
- Experience with industry camera systems such as Genetec/Milestone.
Our Interview Process
Initial phone screening
Technical interview with some engineering tasks
Final interview
*The company is an equal opportunity employer *
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Azure Computer Vision CUDA Deep Learning Distributed Systems Docker Engineering GitHub Kafka Python Research SQL TDD Terraform Testing
Perks/benefits: Startup environment
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