Hybrid Machine Learning Product Architect

at ResMed

• Job title: Machine Learning Product Architect
• Job type: Full Time
• Experience level: Senior, Lead
• Salary: $171,000 - $257,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Cloud, Python
• Location requirements: Hybrid, San Diego, United States

About the role

• Machine Learning Product Architect defining and guiding AI/ML architectural vision for healthcare products. Collaborating across teams to design and scale intelligent systems with advanced AI capabilities in a hybrid environment.

Responsibilities

• Own the end-to-end architecture of AI/ML/GenAI systems that empower software products with advanced AI capabilities
• Collaborate with cross-functional teams including business product managers, data scientists, machine learning engineers, and software engineers to design and implement scalable AI
• Ensure that both the data source and output are optimized for performance and accuracy
• Act as a strategic architect, focusing two-thirds on strategic direction and solution design, and one-third on initiative deep dives, team mentorship, and execution acceleration
• Lead the creation of Architectural References to demonstrate scalable approaches, reference patterns, and best practices
• Provide leadership in MLOps and GenAI infrastructure — model versioning, monitoring, CI/CD pipelines, and deployment frameworks
• Optimize ML and GenAI workloads for performance, reliability, and cost efficiency
• Evaluate emerging AI, GenAI, and cloud-native technologies; make recommendations for adoption at scale
• Define, collaborate and implement governance, compliance, and security strategies for responsible AI use, ensuring adherence to regulatory and ethical standards

Requirements

• Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field
• 8+ years of relevant experience with strong exposure to production-deployed AI/ML systems
• Proven success in scaling AI/ML and GenAI architectures from concept to production
• Deep understanding of ML algorithms, GenAI architectures (LLMs, embeddings, RAG, Agentic), and LLM pipeline workflows
• Strong coding proficiency in Python (additional languages a plus)
• Knowledge of modern software architecture principles and design patterns
• Strong communication and influencing skills to engage technical and non-technical stakeholders
• Certifications in cloud architecture or ML/GenAI technologies (preferred)
• Portfolio showcasing production-deployed ML/GenAI systems with business impact.

Benefits

• comprehensive medical, vision, dental, and life insurance
• AD&D insurance
• 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)
• tuition assistance
• Flexible Time Off (FTO)
• 11 paid holidays plus 3 floating days
• 14 weeks of primary caregiver leave or two weeks of secondary caregiver leave