Location Context Software Development Engineer in Test

Apple • Cupertino, CA

1d

About The Position

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 and Fitness applications, 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, ability to validate these
models and the supporting software pieces. If this is you, we would be delighted
to hear from you.

Requirements

• BS, MS, or PhD in Computer Science / Electrical Engineering / Mechanical Engineering or equivalent
• Background in one or more of the following domains: time-series analysis, signal processing, sensor fusion, AI models, statistics
• Proficient at coding in Python and/or Matlab
• Proficient at data analysis, data visualization, and reporting
• Familiarity building data pipelines for large-scale data processing

Nice To Haves

• Experience in validating AI models, crafting benchmarks and evaluation protocols, and performing statistical analysis
• Experience working with databases (SQL/NoSQL), comfortable with query languages and designing tables, views, 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 & debug issues, and drive solutions to difficult problems
• Excellent analytical and problem-solving skills, self-motivated, laser-focused, and solution-oriented
• Passionate about location technologies and fitness

Responsibilities

• Define quality assurance strategies for ML models, including validation of training data, features, and labels.
• Responsible for owning the quality of the end-to-end features powered by location context features.
• Develop automated tests that qualify the features, measure performance, and system memory usage.
• Identify KPIs that define the project’s success, dashboard, and track progress across releases.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree