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

Cisco; San Francisco (CA); Remote; USD 173,000 - 242,000; Full time

Job summary

An innovative technology firm is seeking a Lead Machine Learning Engineer to elevate their cloud-managed networking solutions. In this pivotal role, you will lead a talented team in developing AI-driven features for the Meraki Dashboard, enhancing its scalability and security. Collaborating closely with cross-functional teams, you will set the technical vision and mentor engineers to tackle complex challenges. This position offers the chance to shape the future of networking technology in a dynamic and inclusive work environment, where your contributions will drive significant impact and innovation.

Qualifications

• 8+ years of experience in machine learning, data engineering, or software engineering.
• Expertise in building large scale AI models using MLOps practices.

Responsibilities

• Drive engineering teams to enhance Network Assurance applications using ML and AI.
• Guide ML engineering team in defining goals and mentoring engineers.

Skills

Machine Learning

Data Engineering

Software Engineering

DevOps

Python

R

ETL Pipelines

Cloud Architecture

Deep Learning

Education

Bachelor's Degree in Computer Science or related field

Master's Degree in Machine Learning or related field

Tools

TensorFlow

Keras

PyTorch

AWS

Docker

Kubernetes

Jenkins

Terraform

Spark

Kafka

Job description

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This range is provided by Cisco. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$173,100.00/yr - $241,700.00/yr

Please, apply here: https://meraki.cisco.com/jobs/?gh_jid=6759630 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. 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. 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.

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
  
  

Bonus points:

• 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.

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

Please, apply here: https://meraki.cisco.com/jobs/?gh_jid=6759630

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology and Engineering

• Industries

  Computer Hardware Manufacturing, Software Development, and Computer Networking Products

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