Safety & Contextual Algorithms Validation Engineer, Sensing & Connectivity
Apple Inc
3 days ago
$129,300–$194,700
Safety & Contextual Algorithms Validation Engineer, Sensing & Connectivity
Confirmed live today
High trust
Quick summary
- Work type
- On-site
- Location
- —
- Salary
- $129,300–$194,700 / yr
- Posted
- 3 days ago
- Freshness
- Confirmed live today
Market check
Salary context
Below market
How this pay compares to similar roles
Similar $206k
This role $162k
$114k
most similar roles pay here
$273k
This role pays less than 88% of similar roles. Most pay $177,250–$235,750 — the shaded band above. At the midpoint, this role pays about $162k versus about $206k for comparable roles.
Based on 240 similar postings.
Employer
About Apple Inc
Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software
Apple Inc currently has 3513 open roles on FindRole.
Listed pay typically runs $165,800–$277,600 across 2730 roles with salary data.
Most-posted roles
- Software Engineer 287
- Machine Learning Engineer 126
- Engineering Program Manager 64
- Design Verification Engineer 49
- SoC Physical Design Engineer 43
At a glance
TL;DR · Safety & Contextual Algorithms Validation Engineer, Sensing & Connectivity
The Safety & Contextual Algorithms Validation Engineer, Sensing & Connectivity joins the Motion Safety & Activity Context team to drive design data quality and algorithm performance for next-generation contextual awareness and safety features. This role involves challenging sensor-based algorithms, defining KPIs, and creating automated monitoring systems to track feature performance. The engineer will process large structured and unstructured datasets, perform comprehensive assessments of AI model outputs, and collaborate with hardware and software stakeholders to improve the end-to-end user experience for products like Crash Detection and Fall Detection. Required skills include proficiency in Python or Matlab, signal processing, sensor fusion, and machine learning. Candidates should be skilled in data visualization, statistical analysis, and building data pipelines using SQL/NoSQL databases and AWS services to solve complex problems related to human health and behavior tracking.
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