AI Vision Engineer

We are a world-leading smart mobility SaaS tech company with over 1,700,000 subscribers across 23 countries. Our teams are collaborative, vibrant, and fast-growing, and every team member is empowered with the freedom to influence our products and technology.

Are you curious, innovative, and passionate? Do you take ownership, embrace challenges, and enjoy solving problems?

We are looking for a Data Scientist (Computer Vision) who will help us build industry-disruptive tech products, providing our customers with smart, actionable insights that will revolutionize their businesses.

Your Role and Responsibilities:

• Conceptualize and develop computer vision models for driver behavior analysis, road detection, signal detection, and in-cabin characteristics.
• Provide signals based on video/image detection algorithms for other machine learning models, such as road flow or traffic density analysis.
• Develop signal processing models to transform attributes into time series matrices.
• Test and deploy algorithms, making them production-ready.
• Construct solution concepts from insights, whether the data is familiar, unfamiliar, complete, or partial.
• Determine dependencies between sensors and time series data.
• Design and build efficient machine/deep learning and optimization algorithms.
• Integrate, simulate, and test the impact of algorithms and features on the overall system.
• Conduct analyses, simulations, and other necessary steps to validate models and identify areas for improvement.
• Store, retrieve, and visualize results in a way that facilitates analysis.
• Effectively communicate and conceptualize findings to business/product stakeholders.

You Have:

• Experience:
  • Minimum 5 years of relevant experience in one or more of the following areas:
    • Video/Image detection, prediction, and classification
    • Signal processing and time series analysis
• Education:
  • Ph.D., Master’s, or an outstanding Bachelor’s degree in Computer Science, Electrical/Computer Engineering, Mathematics/Statistics, Operations Research, Industrial & Systems Engineering, or related technical disciplines
• Skills and Expertise:
  • Strong fundamentals in Computer Vision
  • Proficient with Python and Deep Learning Libraries such as PyTorch
  • Self-motivated and independent learner, willing to share knowledge with the team
  • Efficient, detail-oriented time manager who thrives in a dynamic, fast-paced environment

Desired:

• Experience working with vehicle imagery and sensors
• Familiarity with Linux/Unix and shell scripting
• Familiar with Quantization-Aware Training
• Experience porting neural networks to DSP/NPUs