Machine Learning Engineer at Apple
Seattle, WA 98105, USA -
Full Time


Start Date

Immediate

Expiry Date

08 Nov, 25

Salary

302200.0

Posted On

09 Aug, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Machine Learning, Computer Science, Computer Engineering, Large Groups, Python, Computer Vision, Computer Graphics

Industry

Information Technology/IT

Description

Our team delivers algorithms that power Apple Vision Pro’s Eyesight, Persona and other VisionOS technologies. In this position, you will be part of our extraordinary team of Computer Graphics, Computer Vision and Deep Learning researchers and engineers to discover and build solutions to previously-unsolved challenges in human representation and motion impacting millions of users.

DESCRIPTION

Apple’s Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and graphics applications. We are actively involved in the whole ML cycle from data collection design and data processing to model design and experiments to validation and QA in the wild. We perform applied research development to adapt state-of-the-art methods or implement new methods to ship features on visionOS and iOS platforms. In this role, you will work closely with other ML engineers as well as data and software engineers both internally and multi-functionally.

MINIMUM QUALIFICATIONS

  • Software engineering skills and proficiency in Python
  • Experience with PyTorch
  • Independent problem solving skills
  • BS degree and 10+ years of experience

PREFERRED QUALIFICATIONS

  • Passion for delivering high quality features to large groups of diverse end-users
  • Excellent communication and experience working with multi-functional teams
  • Self-motivated with proven track record to optimally prioritize and deliver tasks on schedule
  • MS degree in computer vision, computer graphics, machine learning or related field
  • PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields.

How To Apply:

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Responsibilities

Please refer the Job description for details

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