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.
Write quality specifications that translate real user needs and device constraints into testable technical requirements
Establish acceptance criteria and benchmarks for touch algorithm families, including clear definitions of meaningful regression versus noise
Build structured test scenario libraries and coverage models reflecting the diversity of real-world touch interactions and user conditions
Identify gaps between current validation approaches and user-relevant edge cases
Design data collection, labeling, and analysis plans that enable effective validation and spec setting
Embed with algorithm teams to understand their workflows and surface gaps where quality is undefined, inconsistently applied, or disconnected from user impact
Translate user research and field data into concrete quality requirements, establishing shared language for what "validated" means at each stage of development
Provide platform and automation teams with a prioritized set of automation requirements grounded in written quality specifications
Drive adoption of quality frameworks and build consensus across teams with different algorithms, timelines, and constraints
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
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
We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.
There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.