On the sensor-based algorithms team at Apple, you'll challenge existing designs, define KPIs and performance targets, and use generative AI and analytics to verify, validate, and improve algorithm performance. You will build automated monitoring and evaluation systems, profile and process large structured and unstructured datasets, and conduct comprehensive assessments of AI model outputs to drive enhancements. You’ll also participate in code and data reviews and collaborate with hardware and app stakeholders to optimize end-to-end user experience.
Commitments
You must be able to operate effectively in a dynamic environment with shifting priorities and schedules.
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.
Commitments
Ability to work in dynamic environment with shifting priorities and schedules
Not Met Priorities
What still needs stronger evidence
Requirements
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 Skills
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
Education
(Not required)
– BS or MS in Computer Science / Electrical Engineering / Mechanical Engineering or equivalent
Summary 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. 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. 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 Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. 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. Apple accepts applications to this posting on an ongoing basis.
Apple
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Cupertino, CA