11 hours ago
Responsibilities
- Own the model quality of shipping and unreleased Apple Intelligence features.
- Prioritize and drive modeling efforts across multiple fronts.
- Analyze user feedback to identify shortcomings in models and evaluation data.
- Define evaluation mechanisms for data curation, metric calibration, and model improvement.
- Research SFT, PEFT, RLHF, and distillation techniques to improve model quality and robustness.
- Implement pipelines, experiments, and simulations to assess modeling changes.
- Collaborate with teams working on human interfaces, user studies, internationalization, ML technologies, and system integration.
Requirements
- MS or PhD in Computer Science or a related field, or equivalent practical experience.
- History of shipping AI features built on language models.
- Experience building and maintaining end-to-end model pipelines, including data curation, data synthesis, LLM judges, and post-training.
- Strong Python programming skills and experience developing production-quality Python modules.
- Excellent written and verbal communication skills.
- Preferred: experience driving cross-functional collaboration and leading technical efforts.
- Preferred: expertise deploying models on-device and reasoning about latency, activation size, quantization, and distillation.
- Preferred: background in linguistics, fluency in multiple languages, or experience scaling NLP features for global audiences.
Tech Stack
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.
