Job Details

Role Number: 200643825-0836

Summary

Come join a creative engineering team devoted to making our products more durable through data-driven insights. We're looking for a senior AI/ML engineer to lead the development of intelligent applications and systems that unlock the power of our hardware test data and enable hardware engineers to create their own software tools. In this role, you'll architect and build scalable AI/ML-driven software to help take our department's capabilities to the next level. You'll work with hardware and software engineering teams throughout Apple to design robust AI/ML applications, implement production-grade AI pipelines, iterate based on evolving requirements, and provide input on technical strategy. The tools and platforms you build will power processes, analytics, and workflows that directly influence the design of future products. This is a hands-on work environment where engineers are expected to be self-motivated and proficient with a wide range of AI/ML technologies, while dedicating time to leading contractor teams, driving projects forward, presenting to executive leadership, and delivering excellent solutions for Apple.

Description

In this role you'll architect and implement AI/ML software applications and platforms for the Reliability department at Apple. You’ll provide technical leadership and bridge the gap between business needs and production software, delivering tools that automate workflows and surface novel insights for the organization.

Minimum Qualifications

• B.S. in Computer Science, Software Engineering, Computer Engineering, Machine Learning, or related field

• 4+ years experience and strong foundation in Software Engineering fundamentals, including data structures, algorithms, object-oriented design, and proficiency in building production-quality applications in Python

• 2+ years expertise in AI Engineering, using modern ML frameworks to design and deploy production-level platforms with end-to-end observability using vector-enabled data stores (e.g. Postgres/Timescale)

• Demonstrated leadership experience with the ability to lead contractors, mentor peers, and manage technical resources effectively

• Proven ability to drive projects independently: defining scope, collaborating with stakeholders, negotiating requirements, and driving projects to completion

• Solid understanding of Machine Learning algorithms, with the ability to select and implement the right model or approach for the problem at hand

• Excellent communication and presentation skills, with the ability to articulate complex technical concepts to diverse audiences and influence decision-making

• Thrives in fast-paced, evolving environments—quickly pivots priorities while maintaining data integrity and reliability

Preferred Qualifications

• M.S. in Computer Science, Software Engineering, Computer Engineering, Machine Learning, or related field

• Passion for quality and attention to detail; proactive in researching and assessing emerging technologies (AI/ML models, protocols, and techniques), and integrating them into production

• Experience designing and operating MLOps workflows in cloud-native environments, including CI/CD for ML systems, model versioning and promotion, scalable batch and online inference, and monitoring of data quality, model performance, and system reliability in production

• Track record of successfully growing the scope of engineering projects from initial proof-of-concept to organization-wide adoption

• 6+ years experience and strong foundation in Software Engineering fundamentals, including data structures, algorithms, object-oriented design, and proficiency in building production-quality applications

• Experience with Python (FastAPI), PyTorch, Hugging Face, and Spark to deploy production-level platforms on Kubernetes with end-to-end observability, MLflow tracking, and vector-enabled data stores (e.g. Postgres/Timescale)

• Experience with computer vision technologies and techniques, especially for segmentation, anomaly detection, and objective grading is a plus

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .