A bit about us
We're a world-leading smart mobility SaaS tech company with over 2,000,000 subscribers across 23 countries. Our teams are collaborative, vibrant, and fast-growing, and all team members are empowered with the freedom to influence our products and technology.
Are you curious, innovative, and passionate Do you take ownership, embrace challenges, and love problem-solving
We're looking for a Senior Computer Vision Engineer who will empower us to build industry disruptive tech products and enable us to provide our customers with smart actionable insights that will revolutionise their businesses.
You want to
- Conceptualize and develop computer vision models to model driver behavior, road detection, signal detection, in cabin characteristics, etc.
- Provide signals based on video/image detection algorithms for other Machine learning algorithms, such as road flow or traffic densities.
- Develop signal processing models as to characterize the attributes of a time series matrix provided by the output of NNs on video streams.
- Test and put algorithms into a production ready state on embedded processors
- Constructing solution concepts from insights using familiar or unfamiliar data sources or complete or partial data.
- Design and build machine/deep learning and optimization algorithms efficiently
- Integrate, simulate, and test impact of algorithms and features on the overall system
- Develop and execute necessary analyses, simulations, etc. to validate models and identify improvement opportunities
- Store, retrieve and visualize results in a manner that facilitates required analyses
- Research and develop workflows, and data collection pipelines to train models.
- Effectively conceptualize analyses to business/product stakeholders
Must have
- Minimum 6 years of relevant experience in one or more of the following:
- Video/Image detection, prediction, and classification
- Signal processing and time series analysis
- Ph.D., Master's or an outstanding Bachelors in Computer Science, Electrical/Computer Engineering, Mathematics/Statistics, Operations Research, Industrial & Systems Engineering, or related technical disciplines.
- Strong fundamentals in Computer Vision.
- Proficient with Python and utilizing Deep Learning Libraries such as Pytorch
- Self-motivated and independent learner who is willing to share knowledge with the team.
- Efficient and detail-oriented time manager who thrives in a dynamic and fast-paced working environment
Nice to have
- Experience in working with vehicle imagery and sensors
- Familiar with Linux/Unix and shell scripting
- Familiar with Quantization-aware Training
- Familiar with porting neural networks to DSP/NPUs
