Staff Applied Scientist
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Job Description
Staff Applied Scientist at Lime leading technical strategy for vehicle perception. Tackling complex Computer Vision and Machine Learning challenges in micromobility applications with a global impact.
Responsibilities:
- Technical Strategy & Roadmap: Define and execute the long-term technical vision for the Lime Vision team, prioritizing high-impact solutions for parking compliance and rider safety.
- Complex Problem Solving: Architect and own the development of real-time solutions for tandem riding (multi-person detection), sidewalk riding prevention, and precision parking validation using advanced scene understanding.
- Advanced Data Fusion: Lead the effort to fuse camera-based computer vision with other vehicle sensors to create a high-confidence, 360-degree understanding of vehicle state and environmental context.
- Hardware-Software Co-Design: Collaborate with hardware and firmware teams to optimize vision algorithms for resource-constrained edge devices, ensuring low latency and high reliability in diverse weather and lighting conditions.
- End-to-End Ownership: Oversee the entire lifecycle—from data strategy and sensor selection to model deployment and post-launch performance monitoring in the field.
- Technical Leadership & Mentorship: Act as the primary technical authority for Computer Vision (CV) at Lime; mentor senior scientists and engineers to foster a culture of rigorous, production-oriented research.
- Cross-Functional Influence: Partner with Product, Government Relations, and Operations to translate city-mandated safety goals into robust, scalable technical requirements.
- Strategic Innovation: Stay at the forefront of AI research, identifying emerging technologies that can be adapted to solve unique micromobility challenges.
Requirements:
- 8+ years of industry experience in Computer Vision and Machine Learning, with a proven track record of deploying production-grade models in physical, real-world environments.
- Proven Edge AI Expertise: Extensive experience optimizing and running CV models on embedded hardware (e.g., NVIDIA Jetson, Ambarella, or ARM-based SoCs) where power and computational efficiency are critical.
- Advanced Sensor Fusion: Deep understanding of combining visual data with non-visual inputs (accelerometers, gyroscopes, etc.) to solve complex state-estimation and behavioral problems.
- Strategic Influence: Demonstrated experience leading the technical strategy for a team or complex project. While people management is not required, the ability to influence cross-functional stakeholders and guide the team's technical output is essential.
- Problem-Solving Rigor: Ability to solve "noisy" real-world problems—such as varying lighting, occlusions, and vibration—where standard lab-based models often fail.
- Academic Foundation: PhD or Master’s in Computer Science, Robotics, Electrical Engineering, or a related field with a focus on Computer Vision.
Benefits:
- Comprehensive Health & Wellness: A choice of medical, dental, and vision 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.
- Paid Time Off: Unlimited vacation, paid leaves, and 10 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.
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