Senior ML Platform Engineer - Scalable Ads Infra

Apple Inc.; New York (NY); On-site; USD 185,000 - 278,000; Full time

Benefits offered by this job

Discretionary bonuses or commissions

Apple shareholder programs

Employee Stock Purchase Plan

Medical and dental coverage

Retirement benefits

Discounted products and free services

Tuition reimbursement

Job summary

Apple Inc. is seeking a results-oriented ML Platform Engineer to design and develop secure, scalable back-end systems powering the Ads ML features. You will work closely with ML engineers to build platform capabilities that deliver personalized advertising while upholding Apple's privacy commitments.

Join a one-team culture focused on reliability and performance as you scale models, evaluate data drift, and improve developer experience across ads products.

Qualifications

• Experience writing mission-critical code for production machine learning systems.
• Experience building ML infrastructure, frameworks or services used by multiple teams.
• Experience building SDKs, APIs, and automation UIs used by development teams.
• Proven experience building automation and CI/CD.
• Passionate about improving the developer experience for AI/ML practitioners.
• Solid understanding of the ML lifecycle: training, evaluation, deployment and serving/inferencing, with working experience building and deploying models.
• Solid understanding of model evaluation, train-serve skew and data drift
• Working knowledge of deep learning architectures and training frameworks such as PyTorch or TensorFlow
• Prior experience applying ML at scale in advertising, recommender systems, information retrieval or related domains
• Strong problem solving, debugging and performance tuning skills
• Results oriented, with the ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams
• Product-minded with a proven ability to seek projects with a sense of ownership

Skills

Production ML systems

CI/CD

SDKs and APIs

Debugging

Communication

Ownership

ML lifecycle

PyTorch

TensorFlow

Advertising ML

Education

PhD in Computer Science (3+ yrs eng, 5+ yrs ML) or MS (6+ yrs eng, 5+ yrs ML) or BS (7+ yrs eng, 5+ yrs ML)

Tools

PyTorch

TensorFlow

CI/CD tooling

APIs

Job description

Apple Inc. is seeking a results-oriented ML Platform Engineer to design and develop secure, scalable back-end systems powering the Ads ML features. You will work closely with ML engineers to build platform capabilities that deliver personalized advertising while upholding Apple's privacy commitments.

Join a one-team culture focused on reliability and performance as you scale models, evaluate data drift, and improve developer experience across ads products.