Engineering Manager

🕒 June 10

🇨🇦 Canada – Remote

💵 CA$172k - CA$237k / year

⏰ Full Time

🟠 Senior

🔴 Lead

👮‍♀️ Software Engineering Manager

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Lime

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2017

📦 Logistics

💼 Consulting

✈️ Travel

💰 $418M Convertible Note on 2021-11

Logistics • Consulting • Travel

Lime is a transportation company that provides shared electric scooters and bikes in urban areas, making it easy for users to travel short distances. With a focus on safety, sustainability, and community, Lime aims to offer an eco-friendly alternative to traditional transportation methods. Users can easily locate and rent vehicles through the Lime app, promoting responsible riding and parking practices to enhance the urban mobility experience.

📋 Description

• Lead, mentor and develop a high-performing team of computer vision and machine learning engineers. • Own the business outcomes of the Computer Vision team and align technical investments with company objectives. • Drive architecture, system design, and technical direction for scalable, reliable computer vision and machine learning solutions. • Establish high engineering standards through code reviews, design reviews, testing, and operational best practices. • Participate in and oversee on-call operations to ensure system reliability and service availability.

🎯 Requirements

• 3+ years of experience leading and developing engineering teams. • 8+ years of experience in Computer Vision, Machine Learning, Artificial Intelligence, or related fields. • 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

• Offers Equity • Offers Bonus