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Senior Machine Learning Software Engineer

Apple

Apple

Software Engineering
Cupertino, CA, USA
Posted on Sep 25, 2024

Summary

Posted:
Weekly Hours: 40
Role Number:200569815
Do you have a passion for building the best photo app experience in the world? iPhone is the most popular camera in the world! Seamless integration of software and hardware has delivered magnificent experiences like Photos Memories and Portrait Mode. The Camera & Photos team develops privacy-respecting machine learning technologies to ship Apple Intelligence features and emotional experiences to hundreds of millions of users worldwide. We are looking for an experienced Machine Learning Software Engineer to join our team to be part of this mission.

Description

In this role, you will be working on developing software that power Photos Apple Intelligence features on Apple platforms such as the iPhone, iPad, macOS, and the VisionPro. Candidates should have a proven track record that demonstrates innovation, strong collaboration, excellent interpersonal skills, and a passion for designing and developing high-quality software.

Minimum Qualifications

  • 4+ years experience in developing and shipping production quality software
  • C / C++ / Objective-C / Swift programming experience
  • Experience in implementing Machine Learning, Deep Learning, and Knowledge Graph algorithms
  • Exceptional problem-solving and interpersonal skills

Key Qualifications

Preferred Qualifications

  • Experience optimizing Machine Learning and Deep Learning algorithms for embedded systems
  • Proven ability to excel in a fast-paced development team
  • Experience designing and developing systems that are efficient in resource constrained environments.

Education & Experience

Additional Requirements

Pay & Benefits

  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.