Safety & Contextual Algorithms Validation Engineer, Sensing & Connectivity

The Motion Safety u0026 Activity Context team is looking for a talented engineer to drivendesign data quality and algorithm performance to develop the next generation ofncontextual awareness and safety features. Your role will include ensuring the highestnperformance and quality of multi-modal sensor based algorithms that impact the lives ofnApple customers every day.

Our teams work enables key features like Crash Detection for severe car crashes FallnDetection Movement Disorders API and an advanced Activity Classification. We are andynamic collaborative group that works at the intersection of scientific research andnproduct development. We develop science-backed designs of best-in-class AI/MLnmodels that capture the multifactorial nature of human health and behavior deliveringninsights straight to our customers. We promote innovation and new technology to furthernimprove our creative output. We are seeking a tenacious and passionate person to joinnthis amazing team. If you feel this is you wed love to hear from you.

Challenge the design and implementation of sensor based algorithmsnDefine KPIs u0026 performance targets and analyze analytics for algorithmnverification and validationnUtilize cutting edge generative AI techniques to assess algorithm performancenCreate automated monitoring and evaluation systems to constantly track featurenperformancenProfile process and evaluate large structured and unstructured datasetsnParticipate and present in code review and data reviewnPerform comprehensive assessments of AI model outputs to identify areas ofnenhancement and facilitate algorithm improvementsnCommunicate with upstream (e.g. hardware) and downstream (e.g. app)nstakeholders to drive end-to-end user experience of the feature.

BS or MS in Computer Science / Electrical Engineering / Mechanical Engineeringnor equivalentnBackground in one or more of the following domains: time-series analysis signalnprocessing sensor fusion machine learning AI models statistics proficient atncoding in Python and/or MatlabnProficient at data analysis data visualization and reportingnExperience in validating AI models crafting benchmarks and evaluationnprotocols and performing statistical analysis.

Ability to work in dynamic environment with shifting priorities and schedulesnFamiliarity building data pipelines for large-scale data processingnExperience working with databases (SQL/NoSQL) comfortable with querynlanguages and designing tables views indices familiarity with AWS services/APInsuch as S3 is a plusnFamiliarity testing hardware and/or testing software (including designingnimplementing and executing test plans) is a plusnDetail-oriented able to find bugs investigate u0026 debug issues and drive solutionsnto difficult problemsnExcellent analytical and problem solving skills self-motivated laser-focused andnsolution-oriented