Job Description

The Motion Safety & Activity Context team is seeking an engineer to enhance design data quality and algorithm performance for contextual awareness and safety features. The role involves working with multi-modal sensor algorithms that impact Apple customers, focusing on features like Crash Detection and Fall Detection.

Requirements

BS, MS, or PhD in Computer Science / Electrical Engineering / Mechanical Engineering or equivalent
Background in time-series analysis, signal processing, sensor fusion, machine learning, AI models, statistics
Proficient at coding in Python and/or Matlab
Proficient at data analysis, data visualization, and reporting
Experience in validating AI models, crafting benchmarks and evaluation protocols, and performing statistical analysis

Responsibilities

Challenge the design and implementation of sensor based algorithms
Define KPIs & performance targets and analyze analytics for algorithm verification and validation
Utilize cutting edge generative AI techniques to assess algorithm performance
Create automated monitoring and evaluation systems to constantly track feature performance
Profile, process, and evaluate large structured and unstructured datasets
Participate and present in code review, and data review
Perform comprehensive assessments of AI model outputs to identify areas of enhancement and facilitate algorithm improvements
Communicate with upstream (e.g. hardware) and downstream (e.g. app) stakeholders to drive end-to-end user experience of the feature

Benefits

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.