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Summary
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
Apple accepts applications to this posting on an ongoing basis.
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
- 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
- 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
Apple accepts applications to this posting on an ongoing basis.
Key Skills
Ranked by relevance
ai
machine learning
data analysis
python
aws
ios
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- Posted
- Feb 11, 2026
- Type
- Full-time
- Level
- Entry
- Location
- Austin
- Company
- Apple
Industries
Computers
Electronics Manufacturing
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Software Engineer II
2026-05-24
Full-time
Not Applicable
Belgium
Motor Vehicle Manufacturing
Engineering
View Job Details
Related
Full Stack Software Engineer, PLM & Quality
2026-05-26
Full-time
Not Applicable
Romania
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Engineering
View Job Details
Related
Data Scientist, Mid
2026-05-20
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Not Applicable
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Engineering