1 day ago
Responsibilities
- Develop and deploy AI/ML models and intelligent systems at scale.
- Build robust ML infrastructure for data storage, processing, model serving, monitoring, and model refresh management.
- Create feature-engineering, data-augmentation, prompt-engineering, and fine-tuning frameworks.
- Implement automated pipelines for preprocessing, feature engineering, model training, hyperparameter tuning, and evaluation.
- Apply model compression and optimization techniques to reduce language-model resource usage while preserving performance.
- Collaborate on AI solutions involving computer vision, natural language processing, large language models, and generative AI.
Requirements
- Bachelor’s degree in computer science or a related field, or equivalent experience.
- At least 3 years of machine learning engineering experience across feature engineering, model training, model serving, model monitoring, and model refresh management.
- Experience developing AI/ML systems at scale in production or high-impact research environments.
- Knowledge of common ML frameworks and tools such as PyTorch or TensorFlow.
- Experience and proficiency with Python and efficient SQL.
- Strong coding and software engineering skills, including familiarity with testing, code reviews, and deployment.
- Preferred experience with anomaly detection, forecasting, transformer models such as BERT and GPT, and their underlying principles.
- Preferred proficiency with Superset, Streamlit, Tableau, Business Objects, or Looker for data visualization.
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.