Principal Applied Scientist - Computer Vision

• 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.

This role contributes to building a future where transportation is shared, affordable and carbon-free by developing advanced computer vision systems for electric bikes and scooters that power clean alternatives to car ownership.

• 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.

• Comprehensive Health & Wellness: A choice of medical, dental, and vision plans, with Lime covering 100% of the employee-only premium for many plans. We also provide company-paid life and disability insurance and company-funded mental health benefits.
• Financial & Retirement Planning: 401(k) plan with both pre-tax and Roth options, and access to a Health Savings Account (HSA) with a monthly company contribution.
• Family & Fertility Support: Paid parental leave for birthing and non-birthing parents, plus fertility and family-forming benefits.
• Time Off & Flexibility: Flexible vacation policy for exempt employees, paid sick time, and a calendar of paid company holidays.
• Unique Lime Perks: Complimentary use of Lime vehicles in participating cities, a monthly phone allowance, dedicated learning and development days, and access to perks including One Medical, Wellhub, and Headspace.

Note: Benefits and perks vary depending on role, location, and plan eligibility.

Lime is the largest global shared micromobility business, operating in close to 30 countries across five continents, on a mission to build a future where transportation is shared, affordable and carbon-free through electric bikes and scooters.