Improve software quality for iOS and macOS by developing new tools and processes for the SWE Program group.
Requirements
- 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
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
Other
- 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
- BS in Computer Science or equivalent work related experience
