2 months ago
Bengaluru, IndiaSenior / Staff+
Responsibilities
- Develop and optimize generative models for international languages.
- Own the generative modeling pipeline from data preprocessing and architecture design through training, evaluation, and deployment.
- Build text-generation technologies including context-augmented rewriting, safety-controlled composition, free-form transformation, and personalized interactions.
- Implement optimizers, regularization methods, loss functions, algorithm optimizations, and model-training improvements.
- Address accuracy and performance bottlenecks in distributed training and inference.
- Process large datasets and establish automated synthesis, training, and evaluation pipelines across internal and external APIs.
- Reproduce and revise state-of-the-art research experiments and benchmark model-compression methods.
- Present plans, progress, results, and demos regularly and concisely.
Requirements
- 5–8 years of machine learning expertise.
- Strong programming skills in Python, Objective-C, or Swift.
- Experience with deep learning libraries such as PyTorch and TensorFlow.
- Thorough experience with NLP algorithms and applications, including tokenization, language modeling, text decoding, and text classification.
- Experience programming high-quality code across complex and large repositories.
- Experience with multimodal modeling.
- Experience with NLP modeling for Indian languages is desired.
Categories
AI ResearchML Engineering
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.