Machine Learning Engineer
Job Description
ResMed, a global leader in healthcare technology, is seeking a Machine Learning Engineer to join their innovative Research and Development team. This role sits at the intersection of healthcare and cutting-edge technology, focusing on revolutionizing Home Medical Equipment (HME) and Durable Medical Equipment (DME) through AI and ML applications.
The position offers an exciting opportunity to work on systems that directly impact patient care and healthcare delivery efficiency. As a Machine Learning Engineer, you'll be responsible for designing and implementing advanced ML systems, from data collection to production deployment, while ensuring compliance with healthcare regulations like HIPAA.
The ideal candidate brings 3+ years of ML experience and strong technical expertise in Python, cloud platforms (particularly AWS), and modern ML frameworks. You'll work with large-scale healthcare datasets, implement sophisticated ML pipelines, and collaborate with cross-functional teams to deliver innovative solutions that enhance patient outcomes and streamline caregiver workflows.
ResMed offers a supportive and inclusive environment that emphasizes personal growth and innovation. The company's mission to improve people's lives through better sleep and breathing care provides a meaningful context for your work. You'll be part of a global team that values creative thinking and technical excellence, with the opportunity to see your work make a direct positive impact on healthcare delivery.
The role combines technical challenges with healthcare domain expertise, offering opportunities to work on cutting-edge ML applications while contributing to improved healthcare outcomes. If you're passionate about using technology to solve real-world healthcare challenges and want to be part of a company that's reshaping the future of care delivery, this position offers an excellent opportunity to make a significant impact.
Responsibilities For Machine Learning Engineer
- Lead design and development of automated data collection, curation, and ML model training systems
- Write production grade code with proper unit test coverage
- Collaborate with cross-functional teams to architect ML solutions
- Drive innovation using deep learning libraries for predictive analytics
- Mentor and provide technical leadership to ML engineers and data scientists
- Build and deploy scalable, production-ready ML services
- Research and implement innovative algorithms for healthcare challenges
- Optimize ML pipelines and ensure seamless production integration
- Analyze large distributed datasets to improve caregiver workflows
- Ensure models meet healthcare industry standards and compliance
Requirements For Machine Learning Engineer
- Master's or Bachelor's degree in Computer Science, Machine Learning, or related field
- 3+ years of hands-on experience in ML model development
- Strong expertise in Python programming and frameworks like FastAPI, pydantic, pandas, numpy
- Good understanding of Test Driven Development
- Experience with AWS (SageMaker, S3, Lambda, DynamoDB, API Gateway)
- Proficient in building CI/CD pipelines and deploying with Kubernetes
- Expertise in handling large datasets, including Hadoop or Spark
- Advanced understanding of machine learning techniques
- Ability to design end-to-end ML workflows
- Exceptional problem-solving skills
Benefits For Machine Learning Engineer
- Supportive environment focused on people's development
- Opportunity to design, influence, and innovate
- Work with inclusive global teams
- Support both inside and outside work environment
- Opportunity to make direct positive impact on people's lives
- Culture driven by excellence
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