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

Cisco Systems, Inc.; San Francisco (CA); Hybrid; USD 130,000 - 170,000; Full time

Job summary

An established industry player is seeking a Lead Software Engineer with expertise in AI and ML to drive innovation in cloud-managed networking solutions. In this pivotal role, you will guide a talented team to develop scalable AI features for the Meraki Dashboard, enhancing user experiences for network administrators globally. Your leadership will shape the technical vision and foster collaboration across diverse teams, ensuring the successful integration of cutting-edge ML solutions. This is a unique opportunity to impact technology and empower organizations through intelligent networking solutions.

Qualifications

• 12+ years of experience in ML, data engineering, or software engineering.
• Proficient in Python and/or R with experience in large-scale AI models.

Responsibilities

• Lead ML engineering teams to advance Network Assurance applications.
• Collaborate with product management to set ML/AI technical vision.

Skills

Machine Learning

Data Engineering

Software Engineering

DevOps

Python

R

MLOps

SQL

Cloud Architecture

Generative AI

Tools

TensorFlow

Keras

PyTorch

AWS

Spark

Kubernetes

Docker

Jenkins

Terraform

Kafka

ClickHouse

Job description

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

Applications are accepted until further notice.

About Cisco Meraki and Your Role:

At Cisco Meraki, our intuitive products enable organizations of all sizes to deliver cloud-managed networking at scale. We foster an unrivaled company culture that is collaborative, flexible, and inclusive, empowering our employees to develop intuitive, secure, and accessible technology for everyone.

As the Lead Machine Learning Engineer for Meraki Assurance, you will lead engineering teams to advance Network Assurance applications through machine learning and AI solutions. You will work on elevating the Meraki Dashboard to incorporate innovative, scalable, and secure AI features, addressing the needs of large network administrators globally.

Your success depends on guiding a team of skilled ML/AI engineers, fostering collaboration, and partnering with engineering leaders, UX designers, product managers, and security experts. You will work closely with your team and cross-functional partners to develop and integrate ML/AI features into the Dashboard platform.

You Will:

1. Collaborate with senior engineering leaders and product management to set the technical vision for the ML/AI roadmap.
2. Guide the ML engineering team in defining short, medium, and long-term goals.
3. Contribute to recruiting strategies to build a diverse and inclusive team.
4. Mentor and coach engineers through technical challenges.
5. Work on projects across networking domains to scale ML solutions handling large data volumes.

You Are an Ideal Candidate If You:

1. Have 12+ years of experience in machine learning, data engineering, software engineering, DevOps, or related fields.
2. Have experience building large-scale AI models using MLOps practices with frameworks like TensorFlow, Keras, PyTorch.
3. Are proficient in writing robust, maintainable code in Python and/or R.
4. Have experience with complex datasets, ETL pipelines, SQL, and data engineering.
5. Possess expertise in cloud architecture and technologies such as AWS, Spark, Kubernetes, Docker, Jenkins, Terraform.
6. Have experience developing scalable, production-ready Generative AI solutions.
7. Understand real-time technologies like Kafka and ClickHouse.

At Cisco Meraki, we value diversity, inclusion, and collaboration. We believe connecting different perspectives fosters innovation and unlocks our full potential, creating an inclusive employee experience focused on appreciation, growth, and purpose.

Cisco is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. We will consider qualified applicants with arrest and conviction records on a case-by-case basis.