Principal Applied Scientist - Computer Vision

Lime

5d • Remote

About The Position

Lime is the largest global shared micromobility business, operating in close to 30 countries across five continents. We’re on a mission to build a future where transportation is shared, affordable and carbon-free. Our electric bikes and scooters have powered more than one billion rides in cities around the world. Named a 2025 Time 100 Most Influential Company, Lime continues to set the pace for shared micromobility globally, spurring a new generation of clean alternatives to car ownership.

We are looking for a Principal Applied Scientist to serve as the technical architect and strategic lead for advanced computer vision and machine learning systems. In this role, you will define how intelligent, real-world systems perceive and interpret their environment, from concept through large-scale production deployment.
You will work on complex applied perception challenges that require a strong blend of computer vision, machine learning, and data expertise, with solutions operating in real time on edge hardware. This role requires a hands-on technical leader who can set long-term technical direction while balancing system performance, reliability, and user experience in dynamic, real-world conditions.
This is a remote position with a requirement for candidates residing in Canada to maintain effective collaboration across teams.

Requirements

• 8+ years of industry experience in Computer Vision and Machine Learning, with a strong track record of deploying production-grade systems in real-world environments.
• Edge AI Expertise: Extensive experience optimizing and deploying CV/ML models on embedded or edge hardware platforms where power, performance, and efficiency constraints are critical.
• Sensor Fusion Experience: Deep understanding of integrating with additional sensor modalities to solve complex perception or state-estimation problems.
• Strategic Technical Leadership: Demonstrated experience leading technical strategy and influencing architecture across teams; people management experience is a plus.
• Real-World Problem Solving: Proven ability to build robust systems that perform reliably under noisy, variable, and imperfect real-world conditions.
• Academic Foundation: Master’s or PhD in Computer Science, Robotics, Electrical Engineering, or a related field with a focus on Computer Vision or Machine Learning.

Responsibilities

• Technical Strategy & Roadmap: Define and execute the long-term technical vision for applied computer vision systems, identifying high-impact opportunities and guiding architectural decisions.
• Complex Problem Solving: Architect and own real-time perception and scene-understanding solutions designed to operate reliably in complex, real-world environments.
• Advanced Data Fusion: Lead efforts to combine computer vision with additional sensor inputs to improve robustness, accuracy, and contextual understanding.
• Hardware–Software Co-Design: Collaborate with hardware and firmware teams to optimize vision algorithms for deployment on resource-constrained edge devices, ensuring low latency and high reliability across diverse conditions.
• End-to-End Ownership: Oversee the full lifecycle of machine learning solutions—from data strategy and model development to deployment, monitoring and iterative improvement in production.
• Technical Leadership & Mentorship: Act as a senior technical authority for computer vision and applied ML; mentor scientists and engineers and promote a culture of rigorous, production-oriented development.
• Cross-Functional Influence: Partner with Product, Engineering, and other stakeholders to translate high-level requirements into scalable, technically sound solutions.
• Strategic Innovation: Stay current with advances in AI and computer vision research, identifying techniques that can be adapted for practical, real-world applications.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal