The ad says“Strong technical depth in computer vision, machine learning, system design, and software engineering”
The ad says“Strong technical depth in computer vision, machine learning, system design, and software engineering”
The ad says“Strong technical depth in computer vision, machine learning, system design, and software engineering”
The ad says“Strong technical depth in computer vision, machine learning, system design, and software engineering”
Values
The ad says“Experience building, deploying, and operating ML systems in production, including edge AI environments and modern MLOps practices”
The ad says“Experience building, deploying, and operating ML systems in production, including edge AI environments and modern MLOps practices”
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
You will be accountable for defining the long-term vision for your domain, aligning investments with company objectives and ensuring the team delivers measurable outcomes through scalable, reliable and innovative solutions
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
Remain technically engaged and contribute to design, debugging, and development efforts when needed
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
Benefits
Disability insurance
401(k)
Preferred experience
Proven ability to build high-performing teams and drive execution through effective prioritization, delegation, and stakeholder management
3+ years of experience leading and developing engineering teams
Strong technical depth in computer vision, machine learning, system design, and software engineering
Master’s degree or PhD in Computer Vision, Machine Learning, Artificial Intelligence, Robotics, or a related discipline preferred
If you want to make an impact, Lime is the place for you. Not sure if you meet all the qualifications? If this role excites you we encourage you to apply. Explore all opportunities on our career page
Experience building, deploying, and operating ML systems in production, including edge AI environments and modern MLOps practices
Experience driving technical strategy, architecture, and business outcomes across cross-functional teams
8+ years of experience in Computer Vision, Machine Learning, Artificial Intelligence, or related fields, with a proven track record of delivering production-grade systems
Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related technical field required
