Senior Machine Learning Engineer
Job Description
Join ResMed's Center of Excellence for Generative AI Team as a Senior Machine Learning Engineer to advance Generative AI and ML initiatives. ResMed is a global leader in sleep apnea care, leveraging extensive sleep data for AI/ML innovation. This role offers an opportunity to transform patient care through AI development.
As a Senior MLE, you'll be responsible for building production-grade generative AI applications, developing guardrails, performing model benchmarking, and establishing best practices. The position involves working with cutting-edge AI technologies while collaborating with cross-functional teams including management, product, and delivery functions.
The ideal candidate should have strong expertise in Python, machine learning systems, and cloud platforms (particularly AWS). Experience with NLP, DevOps, and production ML model deployment is crucial. You'll be part of a global team working on innovative solutions that directly impact people's lives through better sleep and breathing care.
ResMed (NYSE
The position combines technical excellence with real-world impact, offering the chance to shape the future of healthcare through AI innovation. You'll be part of a company culture that values individual expression, diversity, and inclusion, while working on projects that directly improve people's lives.
Responsibilities For Senior Machine Learning Engineer
- Design and implement cutting-edge internal and external generative AI products
- Develop guardrails, benchmarks, and best practices around generative AI
- Create POC and MVP applications to demonstrate AI/ML model value
- Develop and deploy scalable, production-grade AI/ML
- Facilitate design sessions to address complex AI challenges
- Collaborate with cross-functional stakeholders
- Mentor junior team members and foster best coding practices
Requirements For Senior Machine Learning Engineer
- Masters or PhD in computer science, data science, or quantitative field with 3+ years experience, OR 5+ years industry experience
- Extensive experience with Machine Learning systems
- Experience with natural language processing
- Expertise in Python coding
- 5+ years of experience with AWS or other cloud platforms
- Solid track record of serving ML models in production
- Experience with DevOps and best coding practices
- Advanced knowledge of RESTful APIs and architectural design patterns
Benefits For Senior 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 of work environment
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