Software Engineer
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
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
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