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Senior Machine Learning Engineer

Posted: 04/25/2023

Digital Health Technology team powers digital experiences and engagement to enhance the lives of millions of people every day through connected care. We build, deliver and manage a portfolio of data management platforms and mobile offerings in support of our core businesses. We thrive on simple and elegant architecture and agility. You’ll be immersed in a dynamic high-growth environment and empowered to excel, take informed risks, and drive ingenuity across the enterprise.


Let’s talk about the team:

The Data Science and AI/ML team collaborates across the organization to identify, develop and deliver Artificial Intelligence (AI) and Machine Learning (ML) powered software solutions that improve patient outcomes, delight our partners and customers, and improve the way we do business in an “AI First” fashion. On any given day, the team could be working on building sophisticated models to delivering personalized recommendations to patients to improve their sleep, identify optimal equipment and settings using our unparalleled store of billion+ nights of sleep data, proactively identify other health risk factors, or help optimize complex, global supply chain operations. 

As a Senior Machine Learning Engineer, your key responsibilities include building automation and leading-edge architecture around model development, deployment, and serving to optimize time to market and quality of AI/ML applications. Specifically, you will give architectural guidance to ensure our global AI/ML systems are production-grade, scalable and use the latest state of the art technology and methodology. You will help define and ensure best coding practices within the team of excellent and engaged engineers. You will be given creative freedom and opportunities to work on advanced AI/ML problems, such as reinforcement learning and a self-serve AI/ML platform. You will do hands-on code development, mentor junior team members, and interact with business stakeholders.

This is a hybrid role based out of our San Diego office (9001 Spectrum Center Blvd, San Diego, CA 92123). We are only considering candidates that reside in the San Diego area at this time.


Let's talk about the role:

  • You will work closely with other stakeholders from Product Management, Engineering, and other business stakeholders to create impactful, intelligent features and products. 

  • You will collaborate closely with other team members including Data Scientists and Data Engineers and “own” the end to end process.

  • You will be given wide authority to develop creative model-based solutions but will also be held to high quality and accountability standards. 

  • You will thoroughly and diligently document the model design, experiments, tests, validations, and live metrics and outcomes, typically on Confluence.  You may be asked to write documents for use in the preparation of intellectual property and technical publications. 

  • Build and maintain optimal global AI/ML architectures.

  • Stay informed of industry trends and enable successful AI/ML solutions by leveraging best practices.

  • Participate in and set up Proof of Concepts (POCs) to demonstrate proposed solutions.

  • Identify, design, and implement internal process improvements: Automating manual processes, re-designing infrastructure for greater scalability, etc.

  • Build infrastructure needed for AI/ML systems, such as model inference, automated (re-)training etc.

  • Work with stakeholders including the Executive, Product, Data and Design teams to help with AI/ML-related technical issues and support their AI/ML infrastructure needs.

  • Actively handle escalated incidents to resolution and suggest solutions to limit future exposure.

  • Participate in Code Review and process improvement.

  • You will mentor and train more junior team members. 


Let's talk about you:

  • 2+ years’ of industry experience

  • M.S or PhD in Data Science/Machine Learning or closely related areas such as Computer Science, Operations Research, Applied Statistics, and Biomedical Informatics. 

  • Deep grounding in machine learning techniques including regression methods (linear, logistic, lasso, support vector, etc.), classification (tree-based models such as XGBoost and Random Forest, Neural Networks, Deep Learning – CNN, RNN, LSTM, etc.), as well as knowledge of clustering and unsupervised learning, time series forecasting and optimization methods. 

  • Solid foundation with development of data analytics systems, including data exploration/crawling, feature engineering, model building, performance evaluation, and online deployment of models. 

  • Hands-on experience in handling large and distributed datasets on Hadoop, Spark, Hive, etc.  

  • Experience with AWS or other cloud-based tools and technologies for data pipelining, model development and deployment.

  • Experience building scalable AI/ML systems for continuous training automation, computer vision, natural language processing, or similarly advanced AI/ML problems.

  • Experience with one or more of the following AWS (Amazon Web Services) cloud services: SageMaker, ECR/EC2 and Docker, AWS Batch processing, Lambda, Glue, EventBridge, etc.

  • Experience with AI/ML operational tools such as Airflow, MLFlow, H2O, etc.

  • Experience with relational SQL and NoSQL databases.

  • Experience with developing production-grade Python code.


We are shaping the future at ResMed, and we recognize the need to build on and broaden our existing skills and continue to attract and retain the world’s best talent. We work hard to offer holistic benefits packages, provide flexible work arrangements, cultivate a workforce culture that allows employees to grow personally and professionally, and deliver competitive salaries to our team members. Employees scheduled to work 30 or more hours per week are eligible for benefits. This position qualifies for the following benefits package: comprehensive medical, vision, dental, and life, AD&D, short-term and long-term disability insurance, sleep care management, Health Savings Account (HSA), Flexible Spending Account (FSA), commuter benefits, 401(k), Employee Stock Purchase Plan (ESPP), Employee Assistance Program (EAP), and tuition assistance. Employees accrue fifteen days Paid Time Off (PTO) in their first year of employment, receive 11 paid holidays plus 3 floating days and are eligible for 14 weeks of primary caregiver or two weeks of secondary caregiver leave when welcoming new family members.

Individual pay decisions are based on a variety of factors, such as the candidate’s geographic work location, relevant qualifications, work experience, and skills.

Subject to the absolute discretion of the company, this role may be eligible to receive stock equity based on company, business unit, and/or individual performance.

This role is eligible to receive an annual cash bonus payment based on company, business unit, and/or individual performance.

At ResMed, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.  A reasonable estimate of the current range for this position is:


$126,000 -190,000




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!

Link to apply: