10 hours ago
Responsibilities
- Design and develop secure, scalable, high-performance backend systems for Apple Ads ML teams.
- Build ML infrastructure, frameworks, and services used by multiple development teams.
- Develop SDKs, APIs, automation UIs, and tooling that improve the developer experience for AI/ML practitioners.
- Support the ML lifecycle including training, evaluation, deployment, serving, and inferencing.
- Build infrastructure for diverse model-development use cases, potentially including LLMs, multimodal models, classical ML, and reinforcement learning.
- Apply ML at scale in advertising, recommender systems, information retrieval, or related domains while supporting privacy commitments.
- Collaborate with technical and non-technical teams and take ownership of product-minded projects.
Requirements
- Production experience writing mission-critical code for machine learning systems.
- Experience building ML infrastructure, frameworks, or services used by multiple teams.
- Experience building SDKs, APIs, automation UIs, automation, and CI/CD.
- Working experience building and deploying models across the ML lifecycle.
- Understanding of model evaluation, train-serve skew, and data drift.
- Working knowledge of deep learning architectures and training frameworks such as PyTorch or TensorFlow.
- Strong problem-solving, debugging, and performance-tuning skills.
- Experience applying machine learning at scale in advertising, recommender systems, information retrieval, or related domains.
- PhD in Computer Science or a related field plus 3+ years of engineering experience and 5+ years of machine learning experience; or an MS plus 6+ years of engineering experience and 5+ years of machine learning experience; or a BS plus 7+ years of engineering experience and 5+ years of machine learning experience.
- Preferred qualifications include advertising industry experience, distributed training, large-scale model optimization for low-latency serving, foundation model operationalization, agentic AI, and privacy-preserving ML experience.
Tech Stack
PyTorchTensorFlow
Categories
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.