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.
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.
MS in EE, ECE, CS, Statistics, HCI, Cognitive Science, or a related field\n5+ years of experience in quality engineering, test strategy, or algorithm/ML evaluation \nExperience writing quality specifications or test plans for complex technical systems adopted by multiple teams\nExperience with signal-level sensor algorithms\nFamiliarity with statistical methods used in algorithm evaluation, such as A/B testing, regression analysis, and significance testing\nWorking proficiency with Python for data exploration and analysis
PhD in EE, ECE, CS, Statistics, HCI, Cognitive Science, or a related field\nStrong 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\nExperience defining test scenario coverage models and setting benchmarks for systems where ground truth is ambiguous or user-dependent\nExperience building consensus on quality standards across teams with competing priorities\nAbility to write specifications precise enough for engineers to implement automation directly, without ambiguity\nBackground in UX research, HCI, or human factors, with experience grounding technical quality definitions in human behavior\nFamiliarity with embedded platform constraints\nExperience with causal inference or advanced experimental design for algorithm evaluation
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: e8853c8d8ba468422fdda67bd9f1bc3d
- Posted 1 day ago
Never miss an opportunity! Create an alert based on the job you applied for.
