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Engineering Manager

🕒 vor 4 Monaten

🇺🇸 Vereinigte Staaten – Remote

💵 $190.000 - $261.000 / Jahr

⏰ Vollzeit

🟠 Senior

🔴 Experte

👮‍♀️ Leiter Softwareentwicklung

🗣️🇺🇸🇬🇧 Englisch erforderlich

Woher diese Stelle stammt

Veröffentlicht auf der Karriereseite von Lime, nicht über eine Jobbörse

Von Remote Rocketship zum ersten Mal gesehen vor 4 Monaten

Noch offen auf der Website von Lime. Geprüft vor 11 Stunden.

Logo of Lime

Lime

501 - 1000 Mitarbeiter

Gegründet 2017

📦 Logistik

💼 Beratung

✈️ Reisen

💰 €418.000.000 Convertible Note im 2021-11

Logistics • Consulting • Travel

Lime ist ein Transportunternehmen, das Elektroscooter und Fahrräder für urbane Mobilität bereitstellt. Über seine benutzerfreundliche App können Kunden E-Scooter und E-Bikes problemlos lokalisieren, entsperren und für bequeme Fahrten innerhalb der Städte nutzen. Lime legt großen Wert auf Sicherheit, Nachhaltigkeit und gesellschaftliches Engagement und positioniert sich als verantwortungsvolle Wahl für umweltfreundliche Pendeloptionen.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• 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.

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