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Lime

Engineering Manager

Lime

Engineering Manager for Lime overseeing computer vision and machine learning projects. Leading a team to develop scalable, reliable systems in a remote setup for a global micromobility leader.

Posted 6/10/2026full-timeRemote • 🇺🇸 United StatesSeniorLead💰 $190,000 - $261,000 per yearWebsite

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • 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.

Benefits

Comp & perks
  • 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.

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
computer visionmachine learningartificial intelligencesystem designsoftware engineeringMLOpsmodel developmentmodel deploymentedge computingembedded systems
Soft Skills
leadershipmentoringcollaborationaccountabilitycontinuous learningperformance managementstakeholder managementprioritizationdelegationtechnical excellence