Software Engineer (Data)

In Sensing & Connectivity, we use on-device sensors and wireless technologies to understand motion and orientation, help pinpoint location, understand user's context, and combine on-device data with machine learning to create immersive and intelligent experiences.

Description

As a Data Software Engineer on the Location & Motion team, you will be responsible for a wide variety of data-focused projects and tasks: from tools for collecting & analyzing field data to data sets for training ML models or evaluating large language models output.

","responsibilities":"Build tools for collecting data from internal users, managing and processing data sets, analyzing data to derive insights, and creating visualizations to communicate these insights.

Create tools to explore and interrogate data in depth, enabling teams to uncover patterns and validate hypotheses.

Build and curate specialized datasets for benchmarking LLM accuracy and reliability, with focus on information and content integrity.

Manage and curate training data for ML models, ensuring data quality, relevance, and ethical, privacy-preserving sourcing.

Design and maintain scalable, privacy-preserving data pipelines that process anonymous aggregated sensor data from mobile devices to analyze real-world impact of features.

Develop frameworks and metrics for benchmarking generative AI output quality and reliability.

Collaborate closely with passionate and creative colleagues to meet ambitious goals in an environment that requires constant curiosity and growth.

Preferred Qualifications

Excellent communication and presentation skills for technical and executive audiences

Experience working with sensor data, IoT systems, or mobile device telemetry

Experience with geospatial data analysis and location-based services

Knowledge of climate science, environmental impact measurement, or sustainability metrics

Strong analytical and quantitative skills with a solid foundation in mathematics and physics

Experience with MCP Servers, AI Agents, advanced Prompt Engineering, and using AI for complex automated data analysis

Proficiency working independently and proactively with stakeholders to drive progress and empower decision-making

Minimum Qualifications

Bachelors or Masters degree in a quantitative / technical field (math, statistics, engineering, information management, computer science, or similar)

Experience with large language models: understanding of patterns/approaches/constraints for large language model prompting, understanding of approaches and techniques for output evaluation and benchmarking

Experience with big data systems and tools like SQL, Hive, Spark. Ability to work with large datasets.

Programming skills in Python, Swift, Objective C, C++, or similar language

Experience with data visualization techniques and software such at matplotlib and Tableau

Understanding of data privacy, security, and ethical data handling practices

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 .