Principal Machine Learning Engineer

As the leader in cloud-managed IT, Cisco Meraki connects passionate people to their mission by simplifying the digital workplace. Our impact is driven by the innovative, purposeful, and vibrant people who make up our inclusive community. When technology is intuitive, our customers can focus on what matters.

We are building a network of future Merakians who are excited by our mission & culture and want to make an impact in their next role. We would like to hear from you if you are interested in being considered for future career opportunities with us.

To be considered for future roles, please submit your resume. When a position is available that matches your background and skill set, we will get in touch with you.

Please note this job posting is currently not open and is intended to advertise future job opportunities.

The Data Science Infrastructure team is a growing group that works closely with executives and leaders across the company to support the development and alignment on our business strategy. We are looking for a Principal Machine Learning Engineer to build a next generation cloud-based analytics platform to tackle wireless performance and connectivity issues in enterprise environments. Meraki's cloud-managed model offers a unique opportunity to draw upon data from hundreds of thousands of networks and millions of access points deployed across our wide ranging customer base. The goal is to use the rich telemetry data available from these devices and combine it with the power of Machine Learning and the cloud to build an analytics engine that can provide intuitive, yet detailed insights into the performance issues across our customer networks. Given the scale of Meraki’s deployment, this provides a unique engineering opportunity to build an impactful solution that can help enhance our customer experience at large.

• Lead data science infrastructure team's AI/ML strategy roadmap while collaborating with PMs, ML Architects, and engineering leaders.
• Influences the opinions and decision-making of others internally at the executive level and externally with customers.
• Communicates complex ideas, anticipates potential objections and persuades others, often at senior levels, to adopt a different point of view.
• Applies ingenuity and creativity to problem analysis and resolution in complicated and/or novel situations
• Influence architectural decisions with focus on security, scalability, and high-performance.
• Collaborate with data science and full stack teams at Meraki to define and build features for an effective and intuitive wireless analytics platform.
• Mentor senior and mid-career team members by providing technical guidance.

• Bachelors + 12 years of related experience, or Masters + 8 years of related experience, or PhD + 5 years of related experience
• Experience programming in Python, Go or Scala.
• Experience using data processing and ML libraries such as Pandas, Scikit-Learn, Tensorflow, Keras, etc.
• Experience implementing and monitoring big data pipelines.
• Experience working with distributed computing engines like Apache Spark, etc. and real time data streaming services like Amazon Kinesis.
• Experience in designing, deploying, and securing cloud-based AI/ML infrastructure. (AWS Preferred)
• Experience in containerization technologies (docker), orchestration platform (K8s), and CI/CD framework (gitlab).
• Strong written and verbal communication skills and excellent attention to detail and accuracy

• Experience with a wireless or a networking analytics system.
• Experience maintaining MLOps platform and supporting production systems to minimize customer downtime.

We encourage you to drop us a line even if you don’t have all the points above. That's a lot of different areas of responsibility! We will help you pick them up because we believe that great engineers come from diverse backgrounds.

At Cisco Meraki, we’re challenging the status quo with the power of diversity, inclusion, and collaboration. When we connect different perspectives, we can imagine 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.