Principal Data and AI/ML Platform Engineer

Resmed • San Diego, CA

4d

About The Position

Global Technology Solutions (GTS) at ResMed is a division dedicated to creating innovative, scalable, and secure platforms and services for patients, providers, and people across ResMed. The primary goal of GTS is to accelerate well-being and growth by transforming the core, enabling patient, people, and partner outcomes, and building future-ready operations. The strategy of GTS focuses on aligning goals and promoting collaboration across all organizational areas. This includes fostering shared ownership, developing flexible platforms that can easily scale to meet global demands, and implementing global standards for key processes to ensure efficiency and consistency. We’re on a mission to change lives with every breath - improving patient outcomes, preventing chronic disease progression, and reducing healthcare system costs. And we believe data is at the heart of that transformation. As a Principal Data and AI/ML Platform Engineer , you will architect and lead data technology initiatives across ResMed's Data and AI Platform organization. You'll develop strategies for AI/ML, data platforms, services, governance, and analytics while ensuring alignment with business goals. This role combines technical expertise with leadership to drive innovation on our platform serving the ResMed Data community. Working with cutting-edge technologies, you'll collaborate across teams to shape architectural design and develop technical talent.

Requirements

• BS/MS in Computer Science or equivalent experience
• 10+ years architecting AI/ML and Data Platform solutions
• Experience building and scaling ML platforms for model training, deployment, and monitoring using large datasets
• Expertise in modern technology stacks, APIs, microservices, and cloud platforms
• Deep platform thinking with proven experience in large-scale data processing systems (batch and streaming) using AWS, Snowflake, Kafka, SQL, dbt
• Strong track record implementing Data Governance practices
• Excellent communication skills with ability to present to all levels of leadership
• Demonstrated agile mindset focused on iterative improvement

Responsibilities

• Lead the technical evolution of data engineering, analytics, and AI/ML capabilities, ensuring incremental solution delivery and proactive risk management
• Develop deep technical expertise across data domains to guide cross-team initiatives and optimize productivity
• Set and maintain high standards for data quality, platform reliability, and security while addressing scalability challenges
• Drive strategic technical decisions that balance business needs with long-term sustainability across data engineering, analytics, and AI/ML initiatives
• Mentor and coach data engineering teams, collaborate with engineering leadership, and provide actionable feedback for team growth
• Effectively communicate technical concepts to both technical and non-technical stakeholders at all management levels
• Provide thought leadership in data architecture, governance, and technology selection to shape company-wide technical direction

Benefits

• comprehensive medical, vision, dental, and life, AD&D, short-term and long-term disability insurance, sleep care management, Health Savings Account (HSA), Flexible Spending Account (FSA), commuter benefits, 401(k), Employee Stock Purchase Plan (ESPP), Employee Assistance Program (EAP), and tuition assistance
• Employees accrue fifteen days Paid Time Off (PTO) in their first year of employment, receive 11 paid holidays plus 3 floating days and are eligible for 14 weeks of primary caregiver or two weeks of secondary caregiver leave when welcoming new family members.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Number of Employees: 5,001-10,000 employees