at Apple
Location
Cupertino, United States of America
Compensation
$147k–$272k USD
Type
full time
Posted
2 months ago
Market range · company + function + seniority
p25 · target · p75 · n=653
Posted $272k · in the market band
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In this role you will lead the development of scalable ML data infrastructure, enabling high-quality ML model development and continuous improvement of application features for creatives.
Identify, source and ingest multimodal datasets for model development, working backwards from a deep understanding of application 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
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.
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.
At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly! The Creator Studio team needs your help shaping the next generation of creative editing tools by working on pioneering technologies to surprise and delight creative pros and enthusiasts alike.
As a Machine Learning Infrastructure engineer, you will be working alongside world-class engineers and creatives to help innovate in the creative space in ways that only Apple can. This is a highly visible and impactful opportunity!
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
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants
Apple accepts applications to this posting on an ongoing basis.
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 $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.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
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants
Apple accepts applications to this posting on an ongoing basis.
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