
501 - 1000 employees
Founded 2017
🚗 Transport
🛍️ eCommerce
☁️ SaaS
💰 $418M Convertible Note on 2021-11
Transport • eCommerce • SaaS
Lime is a transportation company that provides shared electric scooters and bikes in urban areas, making it easy for users to travel short distances. With a focus on safety, sustainability, and community, Lime aims to offer an eco-friendly alternative to traditional transportation methods. Users can easily locate and rent vehicles through the Lime app, promoting responsible riding and parking practices to enhance the urban mobility experience.
🔥 3 minutes ago
🇺🇸 United States – Remote
💵 $190k - $261k / year
⏰ Full Time
🟠 Senior
🔴 Lead
👮♀️ Software Engineering Manager
🦅 H1B Visa Sponsor
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501 - 1000 employees
Founded 2017
🚗 Transport
🛍️ eCommerce
☁️ SaaS
💰 $418M Convertible Note on 2021-11
Transport • eCommerce • SaaS
Lime is a transportation company that provides shared electric scooters and bikes in urban areas, making it easy for users to travel short distances. With a focus on safety, sustainability, and community, Lime aims to offer an eco-friendly alternative to traditional transportation methods. Users can easily locate and rent vehicles through the Lime app, promoting responsible riding and parking practices to enhance the urban mobility experience.
• Lead, mentor and develop a high-performing team of computer vision and machine learning engineers. • Foster a culture of technical excellence, accountability, collaboration, and continuous learning. • Support career development, performance management, and hiring to build and retain top talent. • Own the business outcomes of the Computer Vision team and align technical investments with company objectives. • Define and execute the long-term vision, strategy, and roadmap for computer vision capabilities. • Partner with Product and stakeholders to prioritize initiatives, establish success metrics, and drive measurable impact. • Drive architecture, system design, and technical direction for scalable, reliable computer vision and machine learning solutions. • Lead technical reviews, guide engineering best practices, and ensure high-quality execution. • Oversee the end-to-end ML lifecycle, including model development, deployment, monitoring, and continuous improvement. • Partner with Hardware and Firmware teams to optimize solutions for embedded and edge computing platforms. • Establish high engineering standards through code reviews, design reviews, testing, and operational best practices. • Lead incident response, root cause analysis, and reliability improvements for production systems. • Participate in and oversee on-call operations to ensure system reliability and service availability.
• 3+ years of experience leading and developing engineering teams. • Proven ability to build high-performing teams and drive execution through effective prioritization, delegation, and stakeholder management. • 8+ years of experience in Computer Vision, Machine Learning, Artificial Intelligence, or related fields, with a proven track record of delivering production-grade systems. • Strong technical depth in computer vision, machine learning, system design, and software engineering. • Experience driving technical strategy, architecture, and business outcomes across cross-functional teams. • Experience building, deploying, and operating ML systems in production, including edge AI environments and modern MLOps practices. • Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related technical field required. • Master’s degree or PhD in Computer Vision, Machine Learning, Artificial Intelligence, Robotics, or a related discipline preferred.
• 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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