Engineering Manager, Lime Vision

About the role

We are seeking an Engineering Manager, Computer Vision to lead a team responsible for developing and deploying advanced computer vision and machine learning solutions that power intelligent, real-world systems. In this role, you will combine strong technical leadership with exceptional people management, guiding engineers through the full lifecycle of perception systems, from concept and development to large-scale production deployment. You will drive technical strategy, execution, organizational growth and business impact across computer vision initiatives, partnering closely with Product, Hardware, Firmware, Data, and Platform Engineering teams.

Responsibilities

• Team Leadership & Development
  • 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.
• Strategy & Business Impact
  • 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.
• Technical Leadership & Execution
  • 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.
  • Remain technically engaged and contribute to design, debugging, and development efforts when needed.
• Operational Excellence
  • 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.

Requirements

• 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.

Qualifications

• 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.

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.