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Team Leadership & Development
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.
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.
Leadership
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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.
Technical Expertise & Leadership
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.
Education
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.
Public shared micromobility company renting electric bikes and scooters to riders in cities worldwide.
Visit company websiteJobs and hiring trendsUSD 190000-261000 yearly / year
Full-time
Senior · 8+ years experience
Remote
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