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's Dashboard platform that serves network administrators worldwide.

The position requires a seasoned professional with 8+ years of experience in machine learning, data engineering, or related fields. You'll be leading a team of ML/AI engineers while collaborating closely with engineering leaders, UX designers, product managers, and security experts. The role involves building large-scale AI models and systems using MLOps practices, working with frameworks like TensorFlow, Keras, and PyTorch.

As a leader, you'll be responsible for setting the technical vision for Meraki's Assurance ML/AI roadmap and guiding your team through short and long-term goals. You'll also play a crucial role in recruiting and building a diverse, inclusive team while mentoring engineers through technical challenges.

The ideal candidate should have strong experience with cloud architecture, ETL pipelines, and data engineering. Expertise with technologies like AWS, Kubernetes, Docker, and Jenkins is essential. Bonus points for experience with Generative AI solutions and real-time technologies like Kafka.

Cisco Meraki offers a comprehensive benefits package including medical, dental, and vision insurance, 401k with company match, disability coverage, and generous time off policies. The company culture emphasizes collaboration, flexibility, and inclusion, providing employees with autonomy to develop innovative solutions.

The position offers a competitive salary range of $173,100 - $241,700 USD, with additional benefits and opportunities for growth. This is a remote position with the option to work from San Francisco office, offering flexibility while maintaining strong team collaboration.