Sr. Machine Learning Infrastructure Engineer, Creator Studio

Sr. Machine Learning Infrastructure Engineer, Creator Studio Apple 3.7 ( ) Culver City, CA on company site for later Why you should apply for a job to

Apple :

Ranked as one of the 66% say women are treated fairly and equally to men 66% say the CEO supports gender diversity Ratings are based on anonymous reviews by Fairygodboss members. See all reviews Company commitment that women earn the same as men performing similar work includes no salary history disclosure policy. Apple University creates classes, seminars, and tools to help employees understand Apple's culture, organization, and values. Whether you donate time or money, Apple will match charitable contributions up to $10,000 a year. # 200647930-0670_rxr-663 Position summary lication features Build scalable and reusable infrastructure components for data pipelines, such as labeling via human annotations or LLMs Build and maintain core tooling and frameworks to support model development, including scalable storage and retrieval systems, A/B comparison visualizations and test harnesses to ensure training vs. inference-time parity Partner with model development teams to manage a shared codebase, build common data processing libraries and profile/optimize ML workloads Analyze real-world user interaction data to uncover gaps in training data distributions and derive model success metrics Preferred Qualifications Working knowledge of modern database and distributed data processing technologies/frameworks (e.g., Spark, Dask, Ray, Presto, Parquet, Flink, Druid, Airflow, PostgreSQL). Experience with Python package management and build/deployment tooling (e.g., uv, poetry, hatch). Experience optimizing models and algorithms to run efficiently on resource-constrained platforms. Knowledge of cloud platforms and container orchestration technologies (e.g., Kubernetes, Docker, AWS, GCP). Familiarity with iOS ecosystem including the Swift programming language. Familiarity with model architectures and various training techniques, particularly in the Computer Vision domain. Familiarity with modern camera ISP and digital image processing algorithms and models. Knowledge and keen interest in learning the art and science of photography. Minimum Qualifications BS/MS in Computer Science or related field with 3+ years of relevant industry experience. Proficiency in a high-level programming language (preferably Python) and database query language (e.g., SQL). Strong understanding of software engineering best practices, especially around data modeling, schema design and building maintainable data access layers. Experience developing and optimizing large-scale ML workloads running on distributed processing frameworks. Strong understanding of an ML-based product lifecycle. Ability to communicate effectively and collaborate with partner teams, particularly ML research scientists and engineers. Ability to solve everyday problems in innovative ways. Committed to encouraging an open and inclusive work environment. 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 . Pay & Benefits 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 $147,400 and $272,100, 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. Why you should apply for a job to

Apple :

Ranked as one of the 66% say women are treated fairly and equally to men 66% say the CEO supports gender diversity Ratings are based on anonymous reviews by Fairygodboss members. See all reviews Company commitment that women earn the same as men performing similar work includes no salary history disclosure policy. Apple University creates classes, seminars, and tools to help employees understand Apple's culture, organization, and values. Whether you donate time or money, Apple will match charitable contributions up to $10,000 a year.