Location Context Software Development Engineer in Test at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

04 May, 26

Salary

0.0

Posted On

03 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Analysis, Data Visualization, Python, Matlab, Time-Series Analysis, Signal Processing, Sensor Fusion, AI Models, Statistics, Database Management, Test Planning, Debugging, Analytical Skills, Problem-Solving, Location Technologies, Fitness

Industry

Computers and Electronics Manufacturing

Description

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

Responsibilities

Define quality assurance strategies for ML models and own the quality of end-to-end features powered by location context. Develop automated tests, identify KPIs, and track progress across releases.