Resmed
Principal Data and AI/ML Platform Engineer
Resmed, San Diego, California, United States, 92189
Principal Data and AI/ML Platform Engineer – ResMed
Join ResMed’s Global Technology Solutions (GTS), a division dedicated to creating innovative, scalable, and secure platforms and services for patients, providers, and partners worldwide. GTS’s primary goal is to accelerate well‑being and growth by transforming core systems, enabling better outcomes for patients and people, and building future‑ready operations.
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 will develop strategies for AI/ML, data platforms, services, governance, and analytics while ensuring alignment with business goals. This role balances deep technical expertise with leadership to drive innovation on our platform serving the ResMed Data community.
What You’ll Do
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
What You Bring
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
Benefits Employees scheduled to work 30 or more hours per week are eligible for a comprehensive benefits package, including medical, vision, dental, life and AD&D insurance, short‑term and long‑term disability, 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. Paid Time Off (PTO) accrues fifteen days in the first year, with 11 paid holidays plus 3 floating days. Eligible employees also receive 14 weeks of primary caregiver leave or two weeks of secondary caregiver leave when welcoming new family members.
Base salary range: $190,000 – $284,000 USD, based on geographic location, qualifications, work experience, and skills.
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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 will develop strategies for AI/ML, data platforms, services, governance, and analytics while ensuring alignment with business goals. This role balances deep technical expertise with leadership to drive innovation on our platform serving the ResMed Data community.
What You’ll Do
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
What You Bring
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
Benefits Employees scheduled to work 30 or more hours per week are eligible for a comprehensive benefits package, including medical, vision, dental, life and AD&D insurance, short‑term and long‑term disability, 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. Paid Time Off (PTO) accrues fifteen days in the first year, with 11 paid holidays plus 3 floating days. Eligible employees also receive 14 weeks of primary caregiver leave or two weeks of secondary caregiver leave when welcoming new family members.
Base salary range: $190,000 – $284,000 USD, based on geographic location, qualifications, work experience, and skills.
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