Lead ML Engineer – Meraki Assurance, Remote, U.S.

Meraki, LLC; United States; Remote; USD 138,000 - 242,000; Full time

Job summary

An established industry player is seeking a Lead Machine Learning Engineer to drive innovation in their Network Assurance applications. In this pivotal role, you will lead a talented team, guiding them through the complexities of machine learning and AI to enhance the cloud-managed networking experience. Your expertise will be crucial in setting the technical vision, mentoring engineers, and collaborating with cross-functional teams to develop scalable solutions. Join a company that values diversity, inclusion, and collaboration, where your contributions will shape the future of networking technology and empower organizations globally.

Qualifications

• 8+ Jahre Erfahrung in Machine Learning und Software Engineering.
• Erfahrung mit großen KI-Modellen und MLOps-Praktiken.

Responsibilities

• Leiten Sie das ML-Team zur Definition von Zielen und Visionen.
• Mentorieren Sie Ingenieure durch technische Herausforderungen.

Skills

Machine Learning

Data Engineering

Software Engineering

DevOps

Python

R

Deep Learning

MLOps

SQL

Cloud Architecture

Tools

TensorFlow

Keras

PyTorch

AWS

Spark

Kubernetes

Docker

Jenkins

Terraform

Kafka

ClickHouse

Job description

Application window is expected to close on 6/1/25

About Cisco Meraki and your role:

At Cisco Meraki, our intuitive products enable organizations of all sizes to deliver cloud-managed networking at scale. To provide best-in-class technologies to our customers, we've created an unrivaled company culture for our employees, one that is collaborative, flexible, and inclusive. We take pride in providing employees with the autonomy to develop technology that's intuitive, secure, and accessible for everyone.

As the Lead Machine Learning Engineer for Meraki Assurance, you will drive the engineering teams tasked with advancing the Network Assurance applications through machine learning and artificial intelligence solutions. Dashboard serves as the cornerstone of the Meraki cloud ecosystem, beloved by network administrators worldwide. Your mission will be to elevate Meraki Dashboard to new heights of innovation, leverage AI to enhance simplicity, scalability, and security, while addressing the evolving demands of administrators managing some of the largest networks globally.

Your success will hinge on your ability to guide a team of skilled ML/AI engineers, fostering a collaborative environment while building strong partnerships with engineering leaders, UX designers, product management, and security experts.

You Will:

• Work with the senior engineering leaders, product management, and others to set the technical vision for the Meraki Assurance ML/AI roadmap.
• Guide ML engineering team through defining short, medium, and long-term goals to achieve the vision.
• Help with the recruiting strategy to build a diverse and inclusive team: driving decisions on whom the team needs to hire.
• Mentor and coach engineers through technical challenges.
• Work on projects that span numerous networking domains and systems — to help our ML solutions scale by handling enormous amounts of data.

You are an ideal candidate if you:

• 8+ years of professional experience in machine learning, data engineering, software engineering, Dev/Ops or related fields.
• Experience in building large scale AI models and systems using MLOps practices; including deep learning models using frameworks such as Tensorflow, Keras, PyTorch.
• Experience working in a team to write robust, maintainable, and extendable code in Python and/or R.
• Experience with complex data sets, ETL pipelines, SQL, and general data engineering.
• Expertise with cloud architecture and technologies like Amazon Web Services, Spark, Kubernetes, Docker, Jenkins, Terraform.
• Experience building scalable and production ready Generative AI solutions.
• Have understanding of Realtime technologies such as Kafka, ClickHouse.

At Cisco Meraki, we’re challenging the status quo with the power of diversity, inclusion, and collaboration. When we connect different perspectives, we can bring new possibilities, inspire innovation, and release the full potential of our people. We’re building an employee experience that includes appreciation, belonging, growth, and purpose for everyone.

Compensation Range:

$138,800 — $241,700 USD

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