Machine Learning Engineer

Digital Health Technology team powers digital experiences and engagement to enhance the lives of millions of people every day through connected care. We build, deliver and manage a portfolio of data management platforms and mobile offerings in support of our core businesses. We thrive on simple and elegant architecture and agility. You’ll be immersed in a dynamic high-growth environment and empowered to excel, take informed risks, and drive ingenuity across the enterprise.

Let’s talk about the team:


Join our leading-edge Machine Learning Engineering (MLE) team to develop and deliver Artificial Intelligence (AI) and Machine Learning (ML) powered software solutions which support our business in an “AI First” fashion and have real-world impact. ResMed improves the lives of millions of patients with sleep apnea and similar conditions. Our billions+ nights of sleep data offer great opportunities for AI/ML applications. ResMed’s AI/ML team powers AI/ML products to support patient’s health such as personalized recommendations to patients to improve their sleep, automated identification of optimal equipment and settings, clinical models for diagnostic and therapeutic applications, and supply chain optimization.

As a MLE your key responsibilities include building automation and leading-edge architecture around model development, deployment, and serving to optimize time to market and quality of AI/ML applications. Our MLEs use leading-edge technologies to translate algorithms and technical specifications into AI/ML systems. This includes development (programming, debugging, testing), as well as monitoring and observability of AI/ML systems in production.

At ResMed, we are dedicated to a diverse team and inclusive work environment.

Note: This role is based in San Diego. Only candidates that live in the San Diego surrounding area will be considered. If you are open to relocating, please list that on your resume.

Let’s talk about the role:

• You will use MLE, MLOps and data engineering to design and implement model deployment strategies to extend our global self-service AI/ML platform.
• You will build MVP applications to showcase the value of AI/ML models, owning the end-to-end process.
• You’ll develop & deploy re-usable production-grade functionality and automation around AI/ML feature pipelines, real-time/batch inference, continuous training, model monitoring.
• You will participate in design sessions with the team to solve leading-edge AI problems and present insights to various/all levels of the company.
• Collaborate with cross-functional stakeholders from product management, operations, and data scientists to develop and deploy production models at scale.
  
  

Let’s talk about you:

• 2+ years of industry experience in Data Science, Machine Learning Engineering, Data Engineering, or similar.
• 2+ years of experience of AWS or other cloud platforms.
• Strong Python coding skills.
• Solid Experience working with Machine Learning Systems (feature/data pipelines, model training, model inference, APIs).
  
  

Joining us is more than saying “yes” to making the world a healthier place. It’s discovering a career that’s challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now!