About the role
Summary
Join Apple's HID Quality Engineering team to ensure our products exceed our customers' expectations! You'll work with QE and Algorithm teams to build metrics around algorithm performance, turning user behavior into quality specifications and measurable standards that teams can consistently apply. You will make sure new customer facing algorithms are validated effectively using data and repeatable processes. This includes defining the right data, ensuring quality of data and labeling, and running tests on datasets.
Description
This role is focused on defining algorithm quality. Day-to-day work involves writing quality specifications, establishing benchmarks, developing test scenario frameworks, and partnering closely with algorithm, platform, and UX research teams to identify where quality standards are missing or misaligned with user outcomes.
Minimum Qualifications
MS in EE, ECE, CS, Statistics, HCI, Cognitive Science, or a related field 5+ years of experience in quality engineering, test strategy, or algorithm/ML evaluation Experience writing quality specifications or test plans for complex technical systems adopted by multiple teams Experience with signal-level sensor algorithms Familiarity with statistical methods used in algorithm evaluation, such as A/B testing, regression analysis, and significance testing Working proficiency with Python for data exploration and analysis
Preferred Qualifications
PhD in EE, ECE, CS, Statistics, HCI, Cognitive Science, or a related field Strong understanding of ML and sensing system behavior, with the ability to reason about failure modes, edge cases, and the difference between a metric shifting and quality actually changing Experience defining test scenario coverage models and setting benchmarks for systems where ground truth is ambiguous or user-dependent Experience building consensus on quality standards across teams with competing priorities Ability to write specifications precise enough for engineers to implement automation directly, without ambiguity Background in UX research, HCI, or human factors, with experience grounding technical quality definitions in human behavior Familiarity with embedded platform constraints Experience with causal inference or advanced experimental design for algorithm evaluation
Skills & Tags
Aplyr's read
Apple is a tech giant known for its sleek design and innovation, attracting top talent in engineering, design, and business operations.
What's promising
- •Apple consistently leads in tech innovation with a strong focus on design and user experience.
- •The company's global brand recognition offers employees a prestigious platform for career growth.
- •Apple's robust ecosystem integrates hardware, software, and services, creating diverse job opportunities.
What to watch
- •High-pressure work environment with demanding deadlines can impact work-life balance.
- •Apple's secretive culture may limit transparency and cross-departmental communication.
- •Dependence on hardware sales makes the company vulnerable to market saturation risks.
Why Apple
- •Apple's design philosophy emphasizes simplicity and elegance, setting it apart in the tech industry.
- •The company has a unique retail presence with its own stores enhancing customer experience.
- •Apple's closed ecosystem creates a seamless integration across its products, unmatched by competitors.
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About Apple
Apple Inc. is a leading technology company known for its innovative consumer electronics, software, and services. The company designs and manufactures products such as the iPhone, iPad, Mac computers, and wearables, significantly influencing the tech industry and consumer behavior worldwide.
