Job Description
Join Lime's vision team as an Applied Scientist, specializing in Computer Vision from the comfort of your home in Canada. This is your chance to lead impactful projects tailored for rider safety and urban mobility solutions. You will influence the Lime Vision team with 8+ years of industry experience, focusing on complex problem-solving in embedded AI systems.
Your main goals will involve creating frameworks for multi-person detection and integrating camera visuals with other sensors. This pivotal role demands strong technical leadership and expertise in edge deployment of machine learning models. Key Responsibilities:
- Execute long-term vision and strategy for CV solutions
- Design real-time detection systems for urban riding conditions
- Lead data fusion for enhanced 360-degree awareness
- Optimize algorithms for resource-constrained devices
- Mentor team members in rigorous research practices Requirements:
- 8+ years' experience in Computer Vision and ML
- Proven track record with embedded AI implementations
- Strong grasp of combined sensor input methodologies
- Ability to strategically influence technical projects
- Advanced degree in Computer Science or related field Harness your expertise to transform the micromobility landscape and partner with Lime on pioneering projects.
About Lime
Lime
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