Job Details

Weekly Hours: 40

Role Number: 200630500-0836

Summary

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

Description

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

Minimum Qualifications

• Bachelors or Masters degree in a quantitative / technical field (math, physics, 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

• Excellent communication and presentation skills for technical and executive audiences

• Programming skills in Python

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

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

Preferred Qualifications

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

• Programming skills on Apple’s platform - Swift, Objective-C, Foundation Framework

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

• 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