Lead Software Engineer with AI/ML skills, Remote, U.S/Canada

Cisco Meraki is seeking a Lead Machine Learning Engineer to drive innovation in their Network Assurance applications through cutting-edge AI/ML solutions. This role sits at the intersection of cloud networking and artificial intelligence, working with Meraki Dashboard - the cornerstone of their cloud ecosystem.

The position offers an opportunity to lead and mentor a team of skilled ML/AI engineers while collaborating closely with engineering leaders, UX designers, product managers, and security experts. The role involves building and scaling AI models and systems that will enhance the simplicity, scalability, and security of network management for administrators worldwide.

As a Lead Machine Learning Engineer, you'll be responsible for setting the technical vision for the Meraki Assurance ML/AI roadmap and guiding the team through short to long-term goals. The role requires extensive experience (12+ years) in machine learning, data engineering, or related fields, with expertise in building large-scale AI models using frameworks like TensorFlow, Keras, and PyTorch.

The position offers competitive compensation ($198,600 - $282,900) and comprehensive benefits including medical, dental, vision insurance, 401k with company match, flexible vacation time, and various wellness offerings. The role can be performed remotely, with a base in San Francisco, offering flexibility in work arrangement.

This is an excellent opportunity for an experienced ML leader who wants to make a significant impact in the network management space while working with cutting-edge AI technologies. The role combines technical leadership, mentorship, and hands-on development work, making it ideal for someone who enjoys both strategic planning and technical execution.

Cisco Meraki offers a collaborative, flexible, and inclusive company culture, providing employees with the autonomy to develop intuitive, secure, and accessible technology. They are committed to diversity and inclusion, considering all qualified applicants regardless of background.