Senior Machine Learning Engineer

Senior Machine Learning Engineer    

Let’s talk about the team    

Join our Business Process Improvement Team as a Senior Machine Learning Engineer (MLE) to advance Artificial Intelligence (AI), Machine Learning (ML) and Operations Research (OR) initiatives that drive our business in an “AI First” approach. ResMed's commitment to improving the lives of sleep apnea patients through our extensive sleep data offers unparalleled opportunities for AI/ML innovation. In this role, you'll spearhead projects that transform supply chain & operations efficiencies, patient care, and provider experience through AI 

Let’s talk about the role    

As a Senior MLE in the corporate systems domain, you will develop and deploy AI/ML models to optimize demand forecasting, financial planning, inventory management, and logistics. You’ll build production-grade systems, implement guardrails, benchmark models, and ensure smooth deployment for scalability and performance. Collaborating with cross-functional teams, you’ll help define technical roadmaps and drive AI adoption across the organization. Your role involves translating corporate systems problems into deployable AI/ML/OR solutions while advising teams on AI opportunities and limitations. You’ll work with global, high-achieving teams to enhance efficiency and innovation in supply chain operations.    

Let's talk about responsibilities    

• Work in a high-performing team to design and implement cutting-edge AI/ML and optimization products  

• Develop guardrails, benchmarks, and best practices around AI/ML and optimization models  

• Spearhead the creation of POC and MVP applications to demonstrate AI/ML model value 

• Develop and deploy scalable, production-grade AI/ML and optimization applications

• Facilitate design sessions to address complex AI challenges, offering insights to various company levels

• Collaborate with cross-functional stakeholders from product management, operations, and data science to develop and deploy scalable production models

• Mentor junior team members and foster best coding practices

Qualifications    

• Either: Masters or PhD in computer science, data science, operations research or other quantitative field and 3+ years of industry experience in Machine Learning Engineering and data science 

• Or: 5+ years of industry experience in data science and machine learning engineering   

• Extensive experience with machine learning systems, including feature/data pipelines, model training, and inference.    

• 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 developing demand forecasting and other ML models on tabular data 

Preferred Qualifications    

• Extensive experience in infrastructure tools like Terraform.    

• Experience with DevOps (deployments, observability, model monitoring), unit tests, and best coding practices.   

• Previous experience with developing or deploying Optimization applications particularly in supply chain and logistics domain.

• Advanced knowledge of RESTful APIs, and industry-standard architectural design patterns.    

• Experience with parallel computing  

Let’s talk about what you can expect    

• A supportive environment that focuses on people's development and best implementation     

• Opportunity to design, influence, and be innovative     

• Work with inclusive global teams and the open sharing of new ideas. We want your ideas.  

• Be supported both inside and outside of the work environment     

• The opportunity to build something meaningful and see a direct positive impact on people’s lives.

• Dream big, iterate and experiment to drive innovation