Senior Software Engineer, Machine Learning & AI

Are you passionate about Machine Learning and AI, and eager to apply your expertise to solve real-world problems at Apple’s incredible scale? Do you want to see your work translated into direct impact on iPhone, AirPods, Watch, Mac, and more? Are you a motivated self-starter eager to lead projects while building and growing a team? Come join us in applying AI and ML techniques across Apple’s hardware portfolio, helping bring amazing, groundbreaking products and innovations to life.

We are the Product Integrity AI/ML team, and we develop and deliver software that supports the creation of Apple’s unparalleled hardware product line. Our software is used by both Apple engineers and third-party accessory manufacturers to develop and debug their systems, with high visibility throughout the company. If you’re an experienced technical leader who can write clean code and drive complex cross-functional projects simultaneously, with a focus on delivering maximum customer impact, we can’t wait to hear from you!

As a Senior Software Engineer on our team, you will play a pivotal role in shaping and delivering high-impact AI/ML solutions that redefine how Apple designs, manufactures, and tests hardware products. The software you build will power data-driven decisions, uncover new insights, and enable breakthrough capabilities across Hardware Engineering and beyond.

We operate in a fast-paced, collaborative environment, working closely with cross-functional teams to quickly iterate, validate, and deploy practical AI/ML solutions at scale.

Minimum Qualifications

• 8+ years of professional experience developing production-grade software systems, with a focus on AI/ML
• Expertise in Python and/or object-oriented languages, with experience building and deploying AI/ML applications at scale
• Hands-on experience with LLMs, custom model development, and RAG/agentic architectures
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent industry experience
• Excellent communication skills, with the ability to convey complex technical concepts clearly to both technical and non-technical audiences

Preferred Qualifications

• Strong interest in emerging ML technologies and a passion for continuous learning and knowledge-sharing
• Experience building, leading, or mentoring high-performing software engineering teams
• Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience