FREE ACCESS
5,000–10,000 jobs/day

See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Engineering Manager
LimeEngineering 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.
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
✓ Tailor your resumeApplicant 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