Resmed
Overview
We are seeking a Machine Learning Product Architect to define, scale and guide the architectural vision for our AI, ML, and GenAI products. This is a senior, highly visible role that sits at the intersection of product strategy, technical architecture, and applied machine learning — shaping how we design, deliver, and scale intelligent systems across our business. You will serve as a senior partner across engineering, product, and clinical organizations — helping set direction, unlock execution, and scale AI/ML impact across our platforms. Location: San Diego (Hybrid) Base pay
Base pay range: $171,000.00/yr - $257,000.00/yr Note: The current base range for this position in San Diego is estimated as $171,000 - $214,000 - $257,000 USD. Responsibilities
Architect scalable ML and GenAI solutions across model training, inference, and workflow AI automation, ensuring seamless integration across products. Partner with product managers to translate business goals into AI-driven technical solutions that deliver measurable impact. Deliver solutions that balance enterprise standards with bespoke innovation, combining platforms and models to meet organizational and market needs. Act as a strategic architect, dedicating two-thirds to strategic direction and solution design, and one-third to 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. Collaborate with data scientists and ML engineers to ensure architectures meet the needs of different model types (ML, DL, GenAI, multi-modal). Evangelize and promote AI/ML adoption across the organization, serving as a trusted advisor and champion of production-ready AI. Evaluate emerging AI, GenAI, and cloud-native technologies and recommend scalable adoption. Define, collaborate on, and implement governance, compliance, and security strategies for responsible AI use, ensuring regulatory and ethical standards are met. Optimize ML and GenAI workloads for performance, reliability, and cost efficiency. Serve as a technology scout, evaluating and integrating emerging AI/ML tools to evolve our tech stack strategically. Qualifications and Experience
Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field. 8+ years of relevant experience with 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. What you can expect
A supportive environment that focuses on people’s development and best implementations. The opportunity to evangelize AI across healthcare and influence its adoption. Exposure to inclusive global teams with open collaboration and idea sharing. Support inside and outside of the work environment. The opportunity to build something that matters and see your work improve outcomes at scale. Dream big, iterate and experiment to drive innovation. Why join us
At ResMed, you’ll be part of a mission-driven company focused on improving health and quality of life. This role offers high visibility, the chance to learn from senior leaders, and the opportunity to shape how ResMed shows up across global markets. You’ll grow your skills in brand strategy, cross-functional collaboration, and brand governance at scale. We offer holistic benefits, flexible work arrangements, and competitive salaries. Eligible employees receive comprehensive medical, vision, dental, life, AD&D, disability insurance, HSA/FSA, commuter benefits, 401(k), ESPP, EAP, tuition assistance, and Flexible Time Off. We provide 11 paid holidays and 3 floating days, plus caregiver leave options when welcoming new family members. Individual pay decisions are based on location, qualifications, experience, and skills. It is not typical to be hired at the top of the range; the current approximate base range for this role in San Diego is $171,000 - $214,000 - $257,000 USD. Joining us means contributing to a healthier world, with a culture that values diversity, inclusion, and innovative ideas. If this sounds like the workplace for you, apply now. We commit to respond to every applicant. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
Software Development, IT Services and IT Consulting, Medical Equipment Manufacturing
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We are seeking a Machine Learning Product Architect to define, scale and guide the architectural vision for our AI, ML, and GenAI products. This is a senior, highly visible role that sits at the intersection of product strategy, technical architecture, and applied machine learning — shaping how we design, deliver, and scale intelligent systems across our business. You will serve as a senior partner across engineering, product, and clinical organizations — helping set direction, unlock execution, and scale AI/ML impact across our platforms. Location: San Diego (Hybrid) Base pay
Base pay range: $171,000.00/yr - $257,000.00/yr Note: The current base range for this position in San Diego is estimated as $171,000 - $214,000 - $257,000 USD. Responsibilities
Architect scalable ML and GenAI solutions across model training, inference, and workflow AI automation, ensuring seamless integration across products. Partner with product managers to translate business goals into AI-driven technical solutions that deliver measurable impact. Deliver solutions that balance enterprise standards with bespoke innovation, combining platforms and models to meet organizational and market needs. Act as a strategic architect, dedicating two-thirds to strategic direction and solution design, and one-third to 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. Collaborate with data scientists and ML engineers to ensure architectures meet the needs of different model types (ML, DL, GenAI, multi-modal). Evangelize and promote AI/ML adoption across the organization, serving as a trusted advisor and champion of production-ready AI. Evaluate emerging AI, GenAI, and cloud-native technologies and recommend scalable adoption. Define, collaborate on, and implement governance, compliance, and security strategies for responsible AI use, ensuring regulatory and ethical standards are met. Optimize ML and GenAI workloads for performance, reliability, and cost efficiency. Serve as a technology scout, evaluating and integrating emerging AI/ML tools to evolve our tech stack strategically. Qualifications and Experience
Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field. 8+ years of relevant experience with 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. What you can expect
A supportive environment that focuses on people’s development and best implementations. The opportunity to evangelize AI across healthcare and influence its adoption. Exposure to inclusive global teams with open collaboration and idea sharing. Support inside and outside of the work environment. The opportunity to build something that matters and see your work improve outcomes at scale. Dream big, iterate and experiment to drive innovation. Why join us
At ResMed, you’ll be part of a mission-driven company focused on improving health and quality of life. This role offers high visibility, the chance to learn from senior leaders, and the opportunity to shape how ResMed shows up across global markets. You’ll grow your skills in brand strategy, cross-functional collaboration, and brand governance at scale. We offer holistic benefits, flexible work arrangements, and competitive salaries. Eligible employees receive comprehensive medical, vision, dental, life, AD&D, disability insurance, HSA/FSA, commuter benefits, 401(k), ESPP, EAP, tuition assistance, and Flexible Time Off. We provide 11 paid holidays and 3 floating days, plus caregiver leave options when welcoming new family members. Individual pay decisions are based on location, qualifications, experience, and skills. It is not typical to be hired at the top of the range; the current approximate base range for this role in San Diego is $171,000 - $214,000 - $257,000 USD. Joining us means contributing to a healthier world, with a culture that values diversity, inclusion, and innovative ideas. If this sounds like the workplace for you, apply now. We commit to respond to every applicant. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
Software Development, IT Services and IT Consulting, Medical Equipment Manufacturing
#J-18808-Ljbffr