A bit about us
Were a world-leading smart mobility SaaS tech company with over 1,850,000 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?

Were looking for a Data Scientist (Computer Vision) who will empower us to build industry disruptive tech products and enable us to provide our customers with smart actionable insights that will revolutionize 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 to a time series matrix.
  
• Test and put algorithms into a production ready state.
  
• Constructing solution concepts from insights using familiar or unfamiliar data sources or complete or partial data.
  
• Imputing the dependency between sensors and time series data.
  
• Design and build machine/deep learning and optimization algorithms efficiently
  
• Integrate, simulate, and test the 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
  
• Effectively conceptualize analyses to business/product stakeholders
  
  

Requirements

You have

• Minimum 6 years of relevant experience in one or more of the following:
  
• Video/Image detection, prediction, and classification on
  
• Signal processing and time series analysis
  
• Ph.D., Masters 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
  
• Desired
  
• 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