Job Details

Weekly Hours: 40

Role Number: 200644873-0836

Summary

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.

Description

Define quality assurance strategies for ML models, including validation of training data, features, and labels.
In this position, you will be 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.

Minimum Qualifications

• 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

Preferred Qualifications

• 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

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .