ML Engineering Manager – On-Site Sunnyvale in Vancouver

ML Engineering Manager – On-Site Sunnyvale in Vancouver

Vancouver Full-Time 94500 - 115500 $ / year (est.) On-site
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At a Glance

  • Tasks: Lead a team in developing innovative AI technologies for healthcare.
  • Company: A leading company revolutionizing healthcare technology.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Be part of a dynamic environment focused on innovation.
  • Why this job: Join a revolutionary team and make a real impact in digital health.
  • Qualifications: Master’s or Ph.D. in machine learning with leadership experience.

The predicted salary is between 94500 - 115500 $ per year.

A leading company in healthcare technology is seeking an Engineering Manager specializing in Machine Learning.

This role involves leading a team to drive the development of AI technologies while ensuring compliance with healthcare regulations and fostering innovation.

The ideal candidate will have a Master’s or Ph.

D. and a strong background in machine learning, coupled with leadership experience.

Join to be part of a revolutionary team in digital health. #J-18808-Ljbffr

ML Engineering Manager – On-Site Sunnyvale in Vancouver employer: Brix

iHealth Labs is an exceptional employer located in Sunnyvale, CA, offering a dynamic work environment where innovation meets healthcare. Employees benefit from a collaborative culture that prioritizes professional growth and development, alongside competitive compensation packages. With a focus on empowering individuals through cutting-edge digital health solutions, iHealth Labs provides unique opportunities to contribute to meaningful projects that improve lives.

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Contact Details:

Brix Recruitment Team

We think you need these skills to ace ML Engineering Manager – On-Site Sunnyvale in Vancouver

Machine Learning
Leadership Experience
AI Technologies Development
Healthcare Regulations Compliance
Innovation Fostering
Master’s or Ph.D. in relevant field
Team Management