Machine Learning Engineer
Job Description
ResMed is at the forefront of healthcare technology, developing innovative solutions that transform care delivery outside traditional hospital settings. As a Machine Learning Engineer, you'll join their R&D team focused on revolutionizing Home Medical Equipment (HME) and Durable Medical Equipment (DME) through AI and ML technologies.
The role combines cutting-edge machine learning development with practical healthcare applications, offering the opportunity to work on systems that directly impact patient care and outcomes. 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 position requires strong technical expertise in Python, machine learning frameworks, and cloud technologies (particularly AWS), combined with the ability to work collaboratively with cross-functional teams. You'll be involved in mentoring other engineers and driving technical excellence while working on meaningful projects that improve healthcare delivery.
ResMed offers a supportive environment that encourages innovation and personal growth, with the chance to work on projects that have a direct positive impact on people's lives. The company has one of the largest actionable datasets in the industry, providing unique opportunities to develop solutions that enhance patient care and optimize healthcare delivery.
This role is ideal for someone who combines strong technical skills with a passion for healthcare innovation and wants to be part of a team that's shaping the future of out-of-hospital care. You'll have the opportunity to work with cutting-edge technologies while contributing to solutions that make a real difference in people's lives.
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
- Mentor and provide technical leadership to ML engineers and data scientists
- Build and deploy highly scalable, production-ready ML services
- Research and implement innovative algorithms for healthcare challenges
- Optimize ML pipelines and ensure seamless integration
- Analyze large, distributed datasets
- 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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