Software Engineer - Regulatory AI & Connected Data

Apple Inc

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $147,400–$220,900 / yr
Posted: today

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $181k

This role $184k

$125k most similar roles pay here $234k

This role pays more than 55% of similar roles. Most pay $145,099–$216,300 — the shaded band above. At the midpoint, this role pays about $184k versus about $181k 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 969 open roles on FindRole.

Listed pay typically runs $163,300–$272,100 across 756 roles with salary data.

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At a glance

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

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Join Apple’s Product Analysis and Compliance Engineering (PACE) organization as a Software Engineer, where you will design and build AI-powered software to enhance regulatory compliance efficiency. You’ll work in small iterations, delivering early and often while using data-driven insights to guide future development. Your role involves establishing lean practices, continuous delivery, and production observability for a new team, ensuring high standards are met alongside rapid deployment cycles. Key responsibilities include building robust data pipelines, integrating AI models securely into production systems, and maintaining audit trails for traceability. You will collaborate closely with domain experts to understand complex compliance issues and integrate diverse data sources across the organization. Proficiency in Python, experience with cloud infrastructure like Kubernetes, and a deep understanding of modern software engineering practices are essential. Ideal candidates have a background in regulated industries and familiarity with MLOps and DORA metrics.

Skills

Python Kubernetes Docker CI/CD MLOps Terraform AWS Prometheus Grafana Git SQL Test-Driven Development Trunk-Based Development LLM Data Pipelines Secrets Management Audit Logging

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 and monitoring.
Establish continuous delivery pipelines optimized for DORA metrics.
Build observability features into systems from the outset to ensure reliability.

What we're looking for

3+ 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 sources
Familiarity with cloud infrastructure and container technologies like Kubernetes and Docker

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