Senior Software Engineer - Regulatory AI & Connected Data

At Apple, the Product Analytics and Compliance Engineering (PACE) organization ensures that every product we ship meets the highest standards of regulatory compliance, product safety, and analytical rigor. We operate at the intersection of engineering, compliance, and data, delivering the insights, testing, and certification workflows that Apple's product programs depend on. Our teams navigate complex regulatory landscapes across dozens of global markets, managing a volume and velocity of compliance work that grows with every product Apple ships., As a Senior Software Engineer on this team, you will design, build, and ship software systems that apply AI to to improve the efficiency of the PACE team. You will work in small iterations, delivering working software early and often, and use data to guide what to build next. You believe that quality is built in - not bolted on - and that fast delivery and high standards reinforce each other. You will help establish the engineering culture of a new team: lean practices, continuous delivery, production observability, and a relentless focus on outcomes over output. You are deeply curious - about about emerging AI capabilities, how users actually work, and how to make tools to enable success - and you channel that curiosity into building things that matter. You will collaborate closely with PACE domain experts to deeply understand their problems, and with data and AI practitioners to build systems that genuinely work at scale.

Bachelor's Degree in Computer Science, Computer Engineering, related field, or equivalent work experience

7+ years experience building and shipping production software systems

Strong track record of delivering AI-powered systems at scale, including model integration, evaluation, and production monitoring

Deep practical experience with modern software engineering practices: continuous integration, continuous delivery, trunk-based development, and incremental delivery

Proficient in Python and at least one other high-level programming language

Experience building data pipelines and working with connected data across multiple sources

Experience with cloud infrastructure and container technologies including Kubernetes and Docker

Demonstrated ability to build observability into production systems - metrics, tracing, logging, and alerting

A curious mindset - you dig into unfamiliar domains, ask why things work the way they do, and seek out knowledge beyond your immediate responsibilities

Excellent written and verbal communication skills with both technical and non-technical audiences

Preferred Qualifications

Master's degree in Computer Science, Computer Engineering, related field, or equivalent work experience

Experience working in or building software for regulated industries (compliance, legal, safety, or similar domain)

Familiarity with the principles in Accelerate and practical experience improving DORA metrics in a team setting

Experience with test-driven development, continuous refactoring, small batch delivery, and collective code ownership

Experience securing AI/LLM systems that process sensitive or regulated data, including prompt injection defense, data handling policies, and audit trail requirements

Experience with LLM application patterns: retrieval-augmented generation, prompt engineering, evaluation frameworks, and human-in-the-loop workflows

Experience with MLOps practices including model versioning, experiment tracking, and performance monitoring in production

Track record of building systems that connect and make sense of heterogeneous data sources at enterprise scale

Experience helping establish engineering culture on a new or transforming team

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 $181,100 and $318,400, 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.