AIML - Sr. Machine Learning Infrastructure Engineer, Evaluation

**Role Number:** 200631681-3577

**Summary**

How do we ensure that Apple's most advanced AI features perform flawlessly for everyone, everywhere? At Apple, the AI/ML Evaluation team answers this question. We are the architects of quality and trust for AI across all Apple products, from Siri to the iPhone camera. We build the systems and methodologies that rigorously test our models against the complexity and diversity of the real world, ensuring they are robust, fair, and deliver a magical experience.
To truly challenge our models, we must go beyond existing data. This is where you come in. We are looking for a staff engineer to lead the creation of a groundbreaking tooling for synthetic data generation. You will architect the systems that create vast, diverse datasets - spanning text, images, video, and audio - to simulate the edge cases and future scenarios our models will encounter. Your work will be the foundation for a new paradigm of AI evaluation at Apple.

**Description**

As a Staff Engineer on the AI/ML Evaluation team, you will lead the design and implementation of a platform dedicated to generating high-fidelity synthetic data at an unprecedented scale. You will be responsible for the end-to-end infrastructure that powers a new generation of generative models, enabling us to create realistic and challenging text, image, audio, and video content. This platform is critical to our mission of ensuring Apple's AI is the most reliable and trustworthy in the world. You will be a key technical leader, setting the strategy for how we build, deploy, and leverage generative AI for evaluation.

**Minimum Qualifications**

+ 10+ years of professional software engineering experience building and operating large-scale, high-performance distributed systems.

+ Strong programming skills in Go and Python, with proven experience building production services.

+ Deep theoretical and practical knowledge of distributed systems principles (e.g., consensus, consistency, scalability).

+ Hands-on expertise with container orchestration and infrastructure-as-code in a production environment.

+ Experience designing and operating infrastructure for machine learning workloads on GPU compute.

+ BS in Computer Science or equivalent work experience.

**Preferred Qualifications**

+ Direct experience architecting systems for training or running large-scale generative models (e.g., Diffusion Models, GANs, LLMs).

+ Familiarity with using synthetic data for model testing, validation, robustness checks, or fairness evaluation.

+ Architectural ownership of a large-scale ML platform or microservice-based system in a production environment.

+ Strategic leadership in defining technical roadmaps and influencing cross-functional teams in an ambiguous, fast-paced domain.

+ MS or PhD in Computer Science or a related field.

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) .