Software Test Engineer, Sensing & Connectivity
Apple
- Location
- Onsite (Cupertino, California)
- Employment
- Full-time
- Level
- Mid Level
Posted 2 weeks ago
About the Role
Join Apple's Sensing and Connectivity team to validate AI models and algorithms for location context features across iOS and watchOS. You will craft benchmarks and evaluation protocols to power personalized insights for Maps, Fitness, and Journal.
Skills
Python
MATLAB
Machine Learning
AI Model Validation
Statistical Analysis
Data Analysis
Data Visualization
SQL
NoSQL
Algorithm Testing
Benchmarking
Evaluation Protocols
GenAI
Debugging
Software Testing
Location Intelligence
Full job details
Join the Sensing and Connectivity - Location Context team that powers critical experiences in Apple products. Our team works on providing personalized insights from users' daily patterns through multimodal sensing and AI models. This team combines
advanced machine learning, including integration, adaptation, and tuning of foundation models, with contextual sensing, bolstered by innovative study design, to derive user insights for Maps, Fitness, Journal - among many more. As a
member of our dynamic group, you will have the rare and rewarding opportunity to craft upcoming products that will delight and inspire our customers. Additionally, you will have the opportunity to work on cutting-edge location intelligence features
powered by ML models across various operating systems, including iOS and watchOS. We develop science-backed designs of AI/ML models that capture the complex interplay of human health and behavior, providing valuable insights directly to our customers.
We foster innovation and embrace new technology to enhance our creative capabilities. We are seeking an engineer with a fundamental understanding of ML, the ability to validate these models, and the supporting software pieces. If this is you, we would
be delighted to hear from you.
The Sensing and Connectivity QE team is looking for a Software Development Engineer in Test to validate the algorithms and AI models behind our location context features. We work in a fast-paced environment that depends on a tight relationship between test and development.
BS, MS, or PhD in Computer Science / Electrical Engineering / Mechanical Engineering or equivalent. Experience in validating AI models, crafting benchmarks and evaluation protocols, and performing statistical analysis. Proficient in designing AI-assisted workflows, using GenAI to automate and accelerate testing, debugging, and metrics analysis. Proficient at coding in Python and/or MATLAB. Proficient at data analysis, data visualization, and reporting.
Familiarity with building data-collection and replay tooling and evaluation pipelines for large-scale data processing. Experience working with databases (SQL/NoSQL), comfortable with query languages and designing tables, views, and indices. Familiarity testing hardware and/or testing software (including designing, implementing, and executing test plans) is a plus. Detail-oriented, able to find bugs, investigate and debug issues, and drive solutions to difficult problems. Excellent analytical and problem-solving skills, self-motivated, persistent, and solution-oriented. Passionate about location technologies and fitness.
Description
The Sensing and Connectivity QE team is looking for a Software Development Engineer in Test to validate the algorithms and AI models behind our location context features. We work in a fast-paced environment that depends on a tight relationship between test and development.
Minimum Qualifications
BS, MS, or PhD in Computer Science / Electrical Engineering / Mechanical Engineering or equivalent. Experience in validating AI models, crafting benchmarks and evaluation protocols, and performing statistical analysis. Proficient in designing AI-assisted workflows, using GenAI to automate and accelerate testing, debugging, and metrics analysis. Proficient at coding in Python and/or MATLAB. Proficient at data analysis, data visualization, and reporting.
Preferred Qualifications
Familiarity with building data-collection and replay tooling and evaluation pipelines for large-scale data processing. Experience working with databases (SQL/NoSQL), comfortable with query languages and designing tables, views, and indices. Familiarity testing hardware and/or testing software (including designing, implementing, and executing test plans) is a plus. Detail-oriented, able to find bugs, investigate and debug issues, and drive solutions to difficult problems. Excellent analytical and problem-solving skills, self-motivated, persistent, and solution-oriented. Passionate about location technologies and fitness.