ResMed SaaS R&D team is looking for a Machine Learning Engineer to work on products that change the way technology is used to deliver healthcare.

Requirements

Mentor and provide technical guidance to other members of the team
Design and implement systems for automatic data collection and curation and model training
Interact with the product/UX team to architect ML solutions
Utilize bleeding edge deep learning methods and libraries
Ability to partner effectively with Product Engineering, Data Science, PM, DevOps, QE and other developers to design and implement meeting the spirit of requirements
Manage and process large datasets
Work closely with key partners to understand business problems, and then research, develop, and deploy analytical solutions
Analyze diverse sources of data, and implement innovative algorithms to realize actionable results
Learn and use advanced technologies like CUDA, OpenCL, OpenMP, Distributed Systems
Develop services that will be deployed as highly scalable production services
Strive to produce high quality ML models and programs, and methodically test/measure/improve performance both offline and online

Benefits

Opportunity to work on products that change the way technology is used to deliver healthcare
Diverse and inclusive culture
Encouragement of individual expression in the workplace
Opportunity to create new goals and challenges

ResMed SaaS R&D team is looking for a Machine Learning Engineer to work on products that change the way technology is used to deliver healthcare.

Mentor and provide technical guidance to other members of the team
Design and implement systems for automatic data collection and curation and model training
Interact with the product/UX team to architect ML solutions
Utilize bleeding edge deep learning methods and libraries
Ability to partner effectively with Product Engineering, Data Science, PM, DevOps, QE and other developers to design and implement meeting the spirit of requirements
Manage and process large datasets
Work closely with key partners to understand business problems, and then research, develop, and deploy analytical solutions
Analyze diverse sources of data, and implement innovative algorithms to realize actionable results
Learn and use advanced technologies like CUDA, OpenCL, OpenMP, Distributed Systems
Develop services that will be deployed as highly scalable production services
Strive to produce high quality ML models and programs, and methodically test/measure/improve performance both offline and online

Opportunity to work on products that change the way technology is used to deliver healthcare
Diverse and inclusive culture
Encouragement of individual expression in the workplace
Opportunity to create new goals and challenges