- Apple
- Cupertino, CA
- Full-Time
- 4 days ago
Safety & Contextual Algorithms Validation Engineer, Sensing & Connectivity.
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Safety & Contextual Algorithms Validation Engineer, Sensing & Connectivity: our view in 3 lines...
- The Role:This role is for an engineer validating multi-modal sensor-based algorithms for safety and contextual awareness features.
- The Person:The person will validate AI models, craft benchmarks and evaluation protocols, perform statistical analysis, and investigate bugs to improve algorithm quality and performance.
- Requirements:The ideal candidate has a BS or MS in Computer Science, Electrical Engineering or Mechanical Engineering, plus time-series analysis, signal processing, sensor fusion, machine learning, Python or Matlab, data analysis, data visualization, reporting and statistical analysis.
About the role
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 or MS 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
