3 days ago
Cupertino, CA, USAMid Level
H1B sponsor
Responsibilities
- Design and develop secure, scalable backend systems for the Apple Ads ML Platform.
- Build platform capabilities that enable Ads teams to develop, scale, and operate ML features, models, and applications.
- Support model training, evaluation, deployment, serving, and inference workflows.
- Build infrastructure for diverse model development use cases, including LLMs, multimodal models, classical ML, and reinforcement learning.
- Optimize large-scale models and systems for reliable, high-performance, low-latency serving.
- Partner with ML engineers, scientists, and cross-functional teams to select technologies and deliver solutions for advertising challenges.
- Improve the developer experience for AI/ML practitioners while supporting continuous experimentation and scalable modeling.
- Develop ML products that uphold Apple’s privacy commitments.
Requirements
- A master’s degree in Computer Science or a related field with industrial internship experience in machine learning, or a bachelor’s degree in Computer Science or a related field with at least 2 years of industrial engineering experience, including at least 1 year of machine learning experience.
- Working experience building and deploying machine learning models across the training, evaluation, deployment, and serving lifecycle.
- Working knowledge of deep learning architectures and training frameworks such as PyTorch or TensorFlow.
- Strong problem-solving, debugging, and performance-tuning skills.
- Effective written and verbal communication with technical and non-technical multifunctional teams.
- Preferred experience applying ML at scale in advertising, recommender systems, information retrieval, or related domains.
- Preferred understanding of model evaluation, train-serve skew, and data drift.
- Preferred experience with distributed training, large-scale model optimization, foundation models, agentic AI, and privacy-preserving ML.
- Preferred experience building infrastructure for LLMs, multimodal models, classical ML, and reinforcement learning.
- Product-minded approach with ownership and experience operating foundation models.
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.