Staff ML Platform Engineer – Ads Infrastructure

Apple Inc.; New York (NY); On-site; USD 184,700 - 324,800; Full time

Benefits offered by this job

Comprehensive medical and dental coverage

Education reimbursement

Employee stock purchase plan

Job summary

Apple Inc. is looking for a Machine Learning Engineer in New York City to design and develop secure and scalable back-end systems within its Ad Platforms group. You will help build machine learning products that deliver optimized content while maintaining user privacy. The ideal candidate has a strong track record in ML platforms and enjoys collaborative development environments.

This role offers a competitive salary range of $184,700 to $324,800 based on skills and experience, alongside benefits including stock options, health coverage, and educational reimbursements.

Qualifications

• 8+ years of experience in machine learning and strong software engineering skills.
• Hands-on experience with methods for real-time inference and batch processing.
• Prior experience in advertising industry with a focus on ML techniques.

Responsibilities

• Design and develop secure and scalable back-end systems.
• Build high-performing systems with team collaboration.
• Define architectures for ad network challenges.

Skills

Designing large-scale ML platforms

Model quantization and optimizations

Distributed systems experience

Optimizing GPU kernels

Technical leadership and mentorship

Developing AI/ML tooling

Performance tuning and troubleshooting

Effective communication

Results-oriented mindset

Education

PhD/MS/BS in Computer Science or related field

Job description

Apple Inc. is looking for a Machine Learning Engineer in New York City to design and develop secure and scalable back-end systems within its Ad Platforms group. You will help build machine learning products that deliver optimized content while maintaining user privacy. The ideal candidate has a strong track record in ML platforms and enjoys collaborative development environments.

This role offers a competitive salary range of $184,700 to $324,800 based on skills and experience, alongside benefits including stock options, health coverage, and educational reimbursements.