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Apple • Cupertino, California, United States
Role & seniority: Engineer (senior level) on Motion Safety & Activity Context team
Stack/tools: time-series analysis, signal processing, sensor fusion, machine learning/AI models; Python and/or Matlab; data analysis/visualization; benchmarking and evaluation protocols; databases (SQL/NoSQL); AWS (S3)
Ensure data quality and algorithm performance for multi-modal sensor-based models
Develop and advance contextual awareness features (e.g., Crash Detection, Fall Detection, Movement Disorders API, Activity Classification)
Validate AI models, craft benchmarks, design evaluation protocols, and report insights
BS/MS/PhD in CS, Electrical, or Mechanical Engineering (or equivalent)
Experience in time-series, signal processing, sensor fusion, ML/AI, statistics
Proficient in Python and/or Matlab; data analysis, visualization; statistical validation
Experience building large-scale data pipelines; SQL/NoSQL databases; AWS services (S3)
Familiarity with hardware/software testing, test plans; detail-oriented with strong debugging ability
Ability to operate in dynamic, shifting-priority environments
Location & work type: Not specified in the provided text
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
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