Software Engineer (Data)

Apple • Cupertino, CA

22h

About The Position

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.

Requirements

• 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

Nice To Haves

• Excellent communication and presentation skills for technical and executive audience
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level