In AiDP we work on building intelligent systems to democratize AI across a wide range of solutions within Apple. You will drive the development and deployment of innovative AI models and systems directly impacting the capabilities and performance within Apples products and services. You will implement robust scalable infrastructure to support the seamless integration of AI/ML models into production environments. You will develop novel feature engineering data augmentation prompt engineering and fine-tuning frameworks that achieve optimal performance on specific tasks and domains. We design and implement automated ML pipelines for data preprocessing feature engineering model training hyper-parameter tuning and model evaluation enabling rapid experimentation and iteration. There are tremendous opportunities to impact to Apples products and services.
Bachelors in Computer Science or similar technical degree
Strong coding experience in Python or Java. Proficient with asynchronous processing and multithreading.
Solid foundation in developing Agentic GenAI apps using LLMs
Strong software development problem-solving and debugging skills with experience in one or more of the following languages: Python Java
Experience building a RESTful API with at least one backend language such as Python Java
Experience in writing and tuning SQL queries and using data stores like Relational NoSQL and Object Stores
Experience with containerization and orchestration using Docker and Kubernetes
Hands-on with public or private Cloud Services and serverless architectures
Managing deployments scaling strategies and monitoring.
Understanding of client-side state management component lifecycle and API integration.
Exceptional problem-solving skills and the ability to break down complex requirements into actionable plans.
Effective communicator with experience in stakeholder engagement technical documentation and presenting solutions to both technical and non-technical audiences.
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