Senior Engineer, Machine Learning Engineering

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 hybrid role is based in San Diego, CA. If you are a U.S. based applicant open to commute or relocate to ResMed San Diego office, please include that information in your application.

Let's talk about the role

• Work closely with other stakeholders from Product Management, Engineering, and other business stakeholders to create impactful, intelligent features and products.
• Collaborate closely with other team members including Data Scientists and Data Engineers and own the end to end process, train and mentor junior team members
• Independently develop creative model-based solutions and be held to high quality and accountability standards.
• Thoroughly document the model & ML system 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 and provide production support to live AI / ML products
• 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 capabilities needed for production-level AI / ML systems, such as data processing, 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.

Let's talk about you

• 5+ years’ industry experience in Data Science, Machine Learning Engineering or Data Engineering
• M.S or PhD in Data Science / Machine Learning or closely related areas such as Computer Science, Operations Research, Applied Statistics, and Biomedical Informatics.
• Rigorous academic or experiential knowledge of the mathematical essentials for Data Science, including key concepts in probability and statistics, optimization, time series analysis, linear algebra and discrete math.

Sampling and estimation, Bayesian analysis, hypothesis testing, uncertainty estimation, stochastic methods, and graphical methods are particularly important to know.

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.

• Experience building scalable AI / ML systems for continuous training automation, computer vision, natural language processing, recommender system or similarly advanced AI / ML problems.
• 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 Spark, Hive, relational SQL and NoSQL databases.
• Experience with AWS or other cloud-based tools and technologies for data pipelining, model development, deployment, monitoring, and MLOps tools including SageMaker, Airflow, Kubeflow, etc
• Experience with developing production-grade Python code.

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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 three weeks 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.

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

Base Pay Range for this position :

$134,000 - $202,000

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! We commit to respond to every applicant.