About the role

Principal Applied Scientist at Lime, leading computer vision and ML systems development. Driving strategic technical direction and overseeing end-to-end solution lifecycles.

Responsibilities

Define and execute the long-term technical vision for applied computer vision systems
Architect and own real-time perception and scene-understanding solutions designed to operate reliably in complex environments
Lead efforts to combine computer vision with additional sensor inputs to improve system robustness and accuracy
Collaborate with hardware and firmware teams to optimize vision algorithms for resource-constrained edge devices
Oversee the full lifecycle of machine learning solutions—from data strategy to model development and deployment
Act as a senior technical authority for computer vision and applied ML; mentor scientists and engineers
Partner with Product, Engineering, and other stakeholders to translate high-level requirements into scalable solutions
Stay current with advances in AI and computer vision research for practical applications

8+ years of industry experience in Computer Vision and Machine Learning
Extensive experience optimizing and deploying CV/ML models on embedded or edge hardware platforms
Deep understanding of integrating with additional sensor modalities to solve complex perception or state-estimation problems
Demonstrated experience leading technical strategy and influencing architecture across teams
Proven ability to build robust systems that perform reliably under noisy, variable, and imperfect real-world conditions
Master’s or PhD in Computer Science, Robotics, Electrical Engineering, or a related field with a focus on Computer Vision or Machine Learning