Machine Learning Engineer
Job Description
ResMed, a leading healthcare technology company, 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 solutions.
The position offers an exciting opportunity to work with one of the largest actionable datasets in the healthcare industry, developing solutions 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.
As a Machine Learning Engineer, you'll lead the development of automated systems, collaborate with cross-functional teams, and mentor other engineers. The role requires expertise in Python programming, cloud platforms (particularly AWS), and modern ML technologies. You'll work on challenging problems in predictive analytics, workflow optimization, and patient care improvement.
ResMed offers a supportive environment that values innovation and personal growth. The company's mission focuses on improving people's lives through better healthcare delivery outside traditional hospital settings. Their SaaS technology is driving a new era in the healthcare industry, creating dynamic systems that transform patient care.
The ideal candidate brings 3+ years of ML experience, strong technical skills, and a passion for healthcare innovation. You'll join a global team that's committed to excellence and making a meaningful impact on healthcare delivery. This role offers the perfect blend of technical challenge and purposeful work, with the opportunity to see your innovations directly improve 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 for predictive analytics
- 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 to improve 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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