9 hours ago
Responsibilities
- Design and develop secure, scalable, high-performing backend systems for Apple Ads machine learning teams.
- Build ML infrastructure, frameworks, and services used by multiple teams.
- Develop SDKs, APIs, automation interfaces, and developer tooling for ML practitioners.
- Support training, evaluation, deployment, serving, and inferencing across the ML lifecycle.
- Build and operationalize infrastructure for LLMs, multimodal models, classical ML, reinforcement learning, and foundation models.
- Improve reliability, simplicity, scalability, privacy protection, and developer experience across ML platforms.
- Collaborate with machine learning engineers, scientists, and technical and non-technical partners.
- Apply machine learning at scale to advertising, recommender systems, information retrieval, or related domains.
Requirements
- Experience writing mission-critical production code for machine learning systems.
- Experience building ML infrastructure, frameworks, or services used by multiple teams.
- Experience building SDKs, APIs, automation UIs, and CI/CD automation.
- Working experience building and deploying models across training, evaluation, deployment, and serving or inferencing.
- Understanding of model evaluation, train-serve skew, data drift, and deep learning architectures.
- Working knowledge of PyTorch or TensorFlow.
- Strong problem-solving, debugging, performance-tuning, communication, ownership, and product judgment skills.
- PhD in Computer Science or a related field with 3+ years of engineering experience and 5+ years of machine learning experience; or MS with 6+ years of engineering experience and 5+ years of machine learning experience; or BS with 7+ years of engineering experience and 5+ years of machine learning experience.
- Preferred experience includes advertising, distributed training, large-scale low-latency model serving, foundation models, agentic AI, and privacy-preserving ML.
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.