Lead ML Engineer – Meraki Assurance, Remote, U.S. ID-16561
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.
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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.
Message to applicants applying to work in the U.S. and/or Canada:
When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.
U.S. employees have access to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings.
Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday (for non-exempt employees), plus a day off for their birthday. Non-Exempt new hires accrue up to 16 days of vacation time off each year, at a rate of 4.92 hours per pay period. Exempt new hires participate in Cisco's flexible Vacation Time Off policy, which does not place a defined limit on how much vacation time eligible employees may use, but is subject to availability and some business limitations. All new hires are eligible for Sick Time Off subject to Cisco's Sick Time Off Policy and will have eighty (80) hours of sick time off provided on their hire date and on January 1st of each year thereafter. Up to 80 hours of unused sick time will be carried forward from one calendar year to the next such that the maximum number of sick time hours an employee may have available is 160 hours. Employees in Illinois have a unique time off program designed specifically with local requirements in mind. All employees also have access to paid time away to deal with critical or emergency issues. We offer additional paid time to volunteer and give back to the community.
Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco typically pays as follows:
.75% of incentive target for each 1% of revenue attainment up to 50% of quota;
1.5% of incentive target for each 1% of attainment between 50% and 75%;
1% of incentive target for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.
For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
