Senior Software Engineer - Regulatory AI & Connected Data

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$181,100–$318,400 / yr
Posted
29 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $195k
This role $250k
$144k most similar roles pay here $337k

This role pays more than 88% of similar roles. Most pay $162,618–$226,700 — the shaded band above. At the midpoint, this role pays about $250k versus about $195k 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 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Senior Software Engineer - Regulatory AI & Connected Data

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Join Apple's Product Analysis and Compliance Engineering (PACE) organization as a Senior Software Engineer, where you will design and build AI-powered software systems to enhance regulatory compliance efficiency. Your day-to-day involves iterating rapidly based on user feedback, applying secure engineering practices, and establishing robust data pipelines connecting diverse corporate sources. You will integrate AI models into production systems with rigorous evaluation and monitoring, ensuring traceability for compliance-sensitive decisions. Key responsibilities include continuous delivery pipeline optimization, observability implementation from the start, and collaboration with domain experts to understand complex regulatory landscapes. Ideal candidates have a strong background in delivering scalable AI solutions, proficiency in Python and other high-level languages, experience with cloud infrastructure like Kubernetes, and a curious mindset towards emerging technologies and data-driven decision-making.

Skills

Python Kubernetes Docker CI/CD MLOps Terraform AWS Prometheus Grafana GitLab LLMs Data Pipelines Secrets Management Tracing Logging Alerting Test-Driven Development Small Batch Delivery Collective Code Ownership

What you'll do

  • Design and build AI-powered software systems to enhance PACE team efficiency.
  • Implement secure engineering practices for compliance-sensitive data management.
  • Develop robust data pipelines connecting diverse corporate data sources.
  • Integrate AI and large language models into production systems with proper evaluation.
  • Establish continuous delivery pipelines optimized for DORA metrics performance.
  • Build observability features into systems from the outset to ensure reliability.

What we're looking for

  • 7+ years experience building and shipping production software systems
  • Strong track record delivering AI-powered systems, including model integration and monitoring
  • Proficient in Python and another high-level programming language
  • Deep experience with modern software engineering practices: CI/CD, trunk-based development
  • Experience building data pipelines and working with connected data across multiple sources
  • Familiarity with cloud infrastructure and container technologies like Kubernetes and Docker

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