Lead Machine Engineer - Meraki
Description For Lead Machine Engineer - Meraki
Cisco Meraki is seeking a Lead Machine Learning Engineer to join their data science team, working on revolutionary IT infrastructure management solutions. This role combines technical leadership with hands-on machine learning engineering, focusing on delivering value through AI/ML applications. The position offers an opportunity to work with massive datasets and make immediate business impact while leading and mentoring a technical team. The role involves close collaboration with executives and leaders across the company to support business strategy through data-driven solutions. Working at Cisco Meraki means joining a company at the forefront of cloud-managed IT solutions, with competitive compensation and comprehensive benefits. The role requires expertise in machine learning, distributed systems, and cloud infrastructure, making it ideal for someone who can balance technical excellence with team leadership. Located in San Francisco with hybrid work options, this position offers a salary range of $241,300 - $306,700 USD plus additional benefits including healthcare, 401k, and various time-off policies.
Responsibilities For Lead Machine Engineer - Meraki
- Help define and implement AI/ML priorities while collaborating with cross-functional teams
- Explore, design and implement sophisticated models and model architectures
- Understand data and schema to make recommendations for data models
- Establish model integration and deployment using CI/CD principles
- Evaluate AI models performance through testing and experimentation
- Influence architectural decisions focusing on security and scalability
- Collaborate with teams across Cisco Network Platform organization
- Supervise team members' technical designs
- Mentor team members by providing technical guidance
Requirements For Lead Machine Engineer - Meraki
- 8+ years related industry experience
- Experience programming in Python or Scala and SQL
- Experience designing and implementing large scale machine learning frameworks
- Experience using data processing and ML libraries (Pandas, Scikit-Learn, Tensorflow, Keras)
- Experience implementing scalable data and machine learning pipelines
- Experience with distributed computing engines and real-time data streaming
- Experience in designing cloud-based AI/ML infrastructure (AWS Preferred)
- Experience in containerization technologies and CI/CD framework
- Strong written and verbal communication skills
Benefits For Lead Machine Engineer - Meraki
- Paid holidays
- Vacation time
- Sick time off
- Life insurance
- Short and long-term disability coverage
- Wellbeing offerings
- Birthday day off
- Volunteer time
