Engineering Manager

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead, mentor, and cultivate a high-performing team of engineers specializing in computer vision and machine learning.

• Promote a culture of technical excellence, accountability, collaboration, and continuous learning.

• Support career advancement, performance management, and recruitment to attract and retain top talent.

• Take ownership of the business outcomes for the Computer Vision team, aligning technical investments with the company's goals.

• Define and implement the long-term vision, strategy, and roadmap for computer vision capabilities.

• Collaborate with Product and stakeholders to prioritize initiatives, set success metrics, and drive measurable impact.

• Lead architectural design, system design, and technical direction for scalable and reliable computer vision and machine learning solutions.

• Conduct technical reviews, guide engineering best practices, and ensure high-quality execution.

• Oversee the complete ML lifecycle, including model development, deployment, monitoring, and continuous enhancement.

• Collaborate 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.

• Direct incident response, root cause analysis, and reliability improvements for production systems.

• Participate in and oversee on-call operations to maintain system reliability and service availability.

⛳️ Requirements

• Minimum of 3 years of experience in leading and developing engineering teams.

• Demonstrated ability to build high-performing teams and drive execution through effective prioritization, delegation, and stakeholder management.

• Over 8 years of experience in Computer Vision, Machine Learning, Artificial Intelligence, or related fields, with a proven history of delivering production-grade systems.

• Strong technical expertise in computer vision, machine learning, system design, and software engineering.

• Experience in driving technical strategy, architecture, and business outcomes across cross-functional teams.

• Proven experience in 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 is required.

• A Master’s degree or PhD in Computer Vision, Machine Learning, Artificial Intelligence, Robotics, or a related discipline is 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.