Machine Learning Engineer

Let’s talk about the Team

The 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. Do you want to build amazing products and tackle complex questions? At ResMed SaaS, you’ll have the opportunity to do just that. As a member of the ResMed SaaS ML & AI Team, you’ll be creating ways to provide better care for the aging population. See your work improve healthcare each day!

Let's talk about the Role

• 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

Let's talk about You

• Master's/Bachelor’s Degree in computer science or equivalent educational background

• At least 4 years of experience working with data pipelines, feature engineering pipelines, ML model development

• Experience in Snowflake Data Warehouse, SQL, Python, FastAPI framework.

• Knowledge in CI/CD pipelines, Kubernetes or equivalent deployment technologies

• Experience in AWS (Sagemaker, Postgres, DocumentDB, DynamoDB, S3, Lambda, ECR, EKS, ECS, API Gateway, RDS etc.,)

Additional Plus

• Experience in the Healthcare Industry a big plus

• Experience in Data Engineering

• Experience in ML Devops

Joining us is more than saying “yes” to making the world a healthier place. It’s discovering a career that’s challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now! We commit to respond to every applicant.