Senior Machine Learning Engineer

Company:  ResMed
Location: San Diego
Closing Date: 27/10/2024
Salary: £125 - £150 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Imagine a world where people are delighted by their healthcare experience. The ResMed team is taking giant strides towards making this a reality. As part of the Asia LatAm Growth Markets team we are looking to solve unique and exciting challenges utilising technology and connected solutions to impact over a billion people. We have an innovative 30 year history as global leading medical pioneers but now is the time to continually push boundaries, innovate in new spaces and help improve people's health on a large scale.


Let’s Talk About The Team

Join our Center of Excellence for Generative AI Team as a Senior Machine Learning Engineer (MLE ) to advance Generative Artificial Intelligence (Gen AI) and Machine Learning (ML) 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 patient care, provider experience, and operations efficiencies through AI.


Let’s Talk About The Role

As a Senior MLE, you'll not only build production-grade generative AI applications, but also develop guardrails, perform model benchmarking, and foster best practices. This involves transforming technical specs into AI/ML systems, encompassing development, testing, and monitoring. You’ll work closely with management, product management, and delivery functions to help develop technical roadmaps. You’ll help drive the adoption of generative AI across the organization by consulting product teams on their generative AI products and communicating the opportunities and limitations of generative AI to a broad audience of stakeholders. You will be working with high-achieving teammates in a global team.


  • Work in a high-performing team to design and implement cutting-edge internal and external generative AI products.
  • Develop guardrails, benchmarks, and best practices around generative AI.
  • Spearhead the creation of POC and MVP applications to demonstrate AI/ML model value.
  • Develop and deploy scalable, production-grade AI/ML.
  • 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.

Let’s Talk About You

  • Minimum Masters degree in computer science, data science, or other quantitative field and 3+ years of experience in Machine Learning Engineering, Data Science, Data Engineering, or related fields OR 5+ years of industry experience in Machine Learning Engineering, Data Science, Data Engineering, or related fields.
  • Extensive experience with Machine Learning systems, including feature/data pipelines, model training, and inference.
  • Experience with natural language processing, including text processing, regex, feature engineering, and modeling.
  • Expertise in Python coding.
  • 5+ years of experience with AWS or other cloud platforms.
  • Solid track record of serving ML models in production.

It would be a plus if you have

  • Extensive experience in infrastructure tools like Terraform.
  • Experience with DevOps (deployments, observability, model monitoring), unit tests, and best coding practices.
  • Previous experience with generative AI.
  • Advanced knowledge of RESTful APIs, and industry architectural design patterns.

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 - $168,000


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!

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