The System Quality team is seeking a data science engineer to help us improve software quality for iOS and macOS. We practice agile, fast-paced development that relies heavily on a tight relationship between Engineering and QA. We're looking for critical thinkers who would like to play a key role in developing new tools and processes for the SWE Program group.

Description:

On the System Quality team, we are responsible for performing ad hoc data analysis, development and maintenance of distributed data pipelines, and creation of analysis tools. You will need to be familiar with the software development lifecycle of large projects like operating systems.

","responsibilities":"Fine-tune LLMs for domain knowledge, task-oriented, and reasoning capabilities using PEFT/LoRA, SFT, RL, especially PPO, DPO or GRPO is a big plus

Collaborate with business users across regions to understand exception use cases and develop PoC using Python, GenAI, MCP, and Agentic AI to address exception use cases

Build and improve GenAI-powered conversational AI assistant using complex multi-agent orchestration framework to help users analyze and resolve payments and reconciliation issues including root cause analysis

Perform code review, integration, and validation techniques with team members to ensure quality, performance, and reliability

Improve and scale existing AI/ML pipelines using AWS services to support increasing workload

Preferred Qualifications:

Highly organized, creative, motivated, and passionate about achieving results

Excellent written and verbal communication skills are needed to facilitate close interaction with development teams, management, and other organizations within Apple

Enthusiasm for user-focused design & high-quality technology

Minimum Qualifications:

3+ years working in data science theory and engineering

Expertise and experience in various facets of machine learning, such as classification, feature engineering, information extraction, clustering, semi-supervised learning, topic modeling or ranking

Proficiency in data science and analytics, including statistical analysis and A/B testing

Experience designing, conducting, analyzing, interpreting experiments and investigations

BS in Computer Science or equivalent work related experience

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