Role at a glance
- Job function
-
AI & Data AI Research & Applied Science
- Salary
- Not Disclosed
- Location
- Cupertino, California, United States
- Education
- BS or MS in Computer Science / Electrical Engineering / Mechanical Engineering or equivalent
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Role Summary
The engineer works on sensor-based algorithms for contextual awareness and safety features, supporting products including Crash Detection, Fall Detection, the Movement Disorders API, and Activity Classification. The role focuses on algorithm performance and quality through data analysis, validation, and collaboration with stakeholders across the feature lifecycle.
What You'll Do
- Challenge the design and implementation of sensor-based algorithms.
- Define KPIs and performance targets, and analyze analytics for algorithm verification and validation.
- Use generative AI techniques to assess algorithm performance and build automated monitoring and evaluation systems.
- Profile, process, and evaluate large structured and unstructured datasets; participate in code and data reviews.
- Assess AI model outputs to identify improvements and facilitate algorithm enhancements.
- Work with upstream and downstream stakeholders to drive the end-to-end feature experience.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required: BS or MS in Computer Science, Electrical Engineering, or Mechanical Engineering, or equivalent; background in one or more of time-series analysis, signal processing, sensor fusion, machine learning, AI models, or statistics; proficiency coding in Python and/or Matlab; proficiency in data analysis, visualization, and reporting; experience validating AI models, crafting benchmarks and evaluation protocols, and performing statistical analysis.
Required
- BS or MS in Computer Science, Electrical Engineering, or Mechanical Engineering, or equivalent
- Background in one or more of time-series analysis, signal processing, sensor fusion, machine learning, AI models, or 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
- Ability to work in a dynamic environment with shifting priorities and schedules
- Familiarity building data pipelines for large-scale data processing
- Experience with SQL/NoSQL databases, query languages, and designing tables, views, and indices; familiarity with AWS services/API such...
- Familiarity testing hardware and/or software, including designing, implementing, and executing test plans, is a plus
- Detail-oriented, able to find bugs, investigate and debug issues, and drive solutions to difficult problems
- Excellent analytical and problem-solving skills; self-motivated, focused, and solution-oriented
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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 — Cupertino, California, United States
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 $129,300 and $194,700, 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.
Application Deadline
Apple accepts applications to this posting on an ongoing basis.
About the company
Apple
Large Enterprise
Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.