Lead Machine Learning Engineer, Cisco Meraki

Meraki Assurance

$138.8-241.7k

+ Annual bonuses & incentive compensation. Base pay is determined by the candidate's hiring location.

SQL

AWS

Docker

Kubernetes

Python

Kafka

Tensorflow

Terraform

Jenkins

Spark

PyTorch

Keras

Senior and Expert level

Remote in US

Cloud-based network platform

Be an early applicant

Cloud-based network platform

1001+ employees

B2BArtificial IntelligenceEnterpriseInternal toolsAnalyticsCommunicationSaaSAPIAutomationCloud Computing

Be an early applicant

$138.8-241.7k

+ Annual bonuses & incentive compensation. Base pay is determined by the candidate's hiring location.

SQL

AWS

Docker

Kubernetes

Python

Kafka

Tensorflow

Terraform

Jenkins

Spark

PyTorch

Keras

Senior and Expert level

Remote in US

1001+ employees

B2BArtificial IntelligenceEnterpriseInternal toolsAnalyticsCommunicationSaaSAPIAutomationCloud Computing

Company mission

To simplify technology so passionate people can focus on their mission.

Job

Company

Role

Who you are

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
Bonus points:
Experience building scalable and production ready Generative AI solutions
Have understanding of Realtime technologies such as Kafka, ClickHouse

What the job involves

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
At Meraki, engineering thrives on collaboration, and you will work closely with your team and multi-functional partners to drive the development and integration of ML/AI based features into the Dashboard platform
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

Application process

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

Our take

Cisco Meraki, formed from the acquisition of Meraki by Cisco in 2012, is an industry-leading cloud-managed IT company. Its technology provides unified management of mobile devices, Macs, PCs, and entire networks, all from a centralised dashboard.

Originally founded in 2006, Meraki's transformation to Cisco Meraki allowed it to reach more than 2 million active networks, and over 7 million devices globally, on top of gaining the strength of Cisco’s resources. The company has kept pace with the rise of hybrid workforces and multi-cloud environments with its Secure Access Service Edge (SASE) offering, which bridges networking and security so that workers have seamless, secure access wherever they are working from.

Operating in a growing industry, there is plenty of opportunity for Cisco Meraki to expand its operations, and to further develop its offerings. The company supports a range of clients, encompassing roughly 75% of Fortune 500 companies, and including names such as Audi, Applebee's, and Colliers International.

Steph

Company Specialist at Welcome to the Jungle

Insights

19% employee growth in 12 months

Glassdoor (4.1)

Company

Funding (last 2 of 4 rounds)

Jul 2012

$40m

SERIES D

Feb 2011

$15m

SERIES C

Total funding: $80m

Company HQ

Mission Bay, San Francisco, CA

Leadership

Brett Hull

(Head of Engineering (Not Founder))

Previously Research Associate and Postdoctoral Associate at MIT and Software Development Intern at Lawrence Livermore National Laboratory.

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