Join Apple's HID Quality Engineering team to ensure that products exceed customer expectations by focusing on algorithm quality. The role involves collaborating with QE and Algorithm teams to build metrics around algorithm performance and validate new customer-facing algorithms using data. You will define quality specifications and benchmarks, while also developing test scenario frameworks. This position requires close partnership with various teams to align quality standards with user outcomes.

• 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
• 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
• Background in UX research, HCI, or human factors
• Familiarity with embedded platform constraints
• Experience with causal inference or advanced experimental design for algorithm evaluation

• Work with QE and Algorithm teams to build metrics around algorithm performance.
• Validate new customer-facing algorithms using data and repeatable processes.
• Define quality specifications and establish benchmarks for algorithms.
• Develop test scenario frameworks to ensure comprehensive testing.
• Partner closely with algorithm, platform, and UX research teams to identify quality standard gaps.
• Ensure the quality of data and labeling for effective algorithm validation.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.