The Motion Safety & Activity Context team is looking for a talented engineer to drive design data quality and algorithm performance to develop the next generation of contextual awareness, and safety features. Your role will include ensuring the highest performance and quality of multi-modal sensor based algorithms that impact the lives of Apple customers every day.
Description
Our team’s work enables key features like Crash Detection for severe car crashes, Fall Detection, Movement Disorders API and an advanced Activity Classification. We are a dynamic, collaborative group that works at the intersection of scientific research and product development. We develop science-backed designs of best-in-class AI/ML models that capture the multifactorial nature of human health and behavior, delivering insights straight to our customers. We promote innovation and new technology to further improve our creative output. We are seeking a tenacious and passionate person to join this amazing team. If you feel this is you, we’d love to hear from you.
Minimum Qualifications
BS, MS, or PhD in Computer Science / Electrical Engineering / Mechanical Engineering or equivalent
Background in one or more of the following domains: 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.
Preferred Qualifications
Ability to work in dynamic environment with shifting priorities and schedules
Familiarity building data pipelines for large-scale data processing
Experience working with databases (SQL/NoSQL), comfortable with query languages and designing tables, views, indices, familiarity with AWS services/API such as S3 is a plus
Familiarity testing hardware and/or testing software (including designing, implementing and executing test plans) is a plus
Detail-oriented, able to find bugs, investigate & debug issues, and drive solutions to difficult problems
Excellent analytical and problem solving skills, self-motivated, laser-focused, and solution-oriented
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.
Eeo Content
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
