Machine Learning Engineer – Intern

at ResMed
Published March 20, 2023
Location San Diego, United States of America
Category Machine Learning  
Job Type Internship  

Description

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.

 

Over the course of our 12-week internship experience, you will have the opportunity to:

  • Work directly with a mentor in your field of study while finding solutions to real-world problems
  • Experience our products up close
  • Interact directly with our company leaders to discuss strategy and the future of ResMed
  • Build a lasting professional network through social events and engaging activities
  • Gain the skills and knowledge to become a future leader in the medical technology industry

 

Let's Talk About Responsibilities:

As an Internyou will work directly with talented Engineers of all levels.  They will guide you in learning, designing, modifying, developing, writing, and implementing software.  You will also assist in the testing, validation, configuration, and deployment of software applications. The right candidate for our internship will be expected to know commonly-used concepts, practices, and procedures within the software development process and rely on mentorship, instructions, and pre-established guidelines to perform the job's functions.  A successful Engineer at ResMed needs to have a curious, creative, and growth mindset.

  • This is a hybrid role located in San Diego. Candidates must be available to participate in team meetings in our San Diego HQ office. We are only considering candidates that are based in the San Diego and surrounding area at this time.
  • Employer will not sponsor applicants for employment visa status.

 

Basic Qualifications:

  • Ability to work full-time for 12 weeks during Summer 2023; June 12, 2023 – September 1, 2023
  • Graduating with Bachelor's Degree in 2023 OR Academic studies that will lead to a Master's Degree or PhD within AI/ML related field
  • Demonstrate knowledge in Python

 

Preferred Qualifications:

  • Familiar with AWS services such as (Lambda, API-Gateway, SMS, S3, etc...) or desire to learn
  • Familiar with Machine Learning (ML) is a plus.
  • Excellent critical thinking and problem-solving skills.
  • Strong technical experiences as demonstrated through technical projects, research or engineering internships
  • Great interpersonal relations, team cooperation and communication skills.
  • Exceptional organizational and collaboration skills as demonstrated through leadership positions on teams and/or in student or civic organizations
  • Exceptional communication skills and interest and enthusiasm related to medical technology industry and a career with ResMed

 

Pay Range:

Please note that the salary information shown below is a general guideline only. Salaries are based upon candidate experience and qualifications, as well as market and business considerations.

Summary base pay range: $25- 35/ hr.

Equal Opportunity Employer: 

ResMed is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

 

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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!