ML Engineer - Creator Studio

Apple Inc.; Pittsburgh (Allegheny County); Hybrid; USD 140,000 - 200,000; Full time

Job summary

Apple Inc. in Pittsburgh, PA is recruiting ML engineers to design and ship agentic intelligence inside professional creative apps. You will work with designers, app teams, and engineers to turn frontier model capabilities into practical features that lift creators’ workflows.

The role emphasizes evaluating, prompting, and building tool chains to deliver reliable product behavior on both on-device and server platforms. Strong Python, PyTorch, and Core ML experience are valued.

Qualifications

• 3+ years of shipping reliable, maintainable code.
• Hands-on experience applying LLMs or multimodal ML to real products.
• Strong intuition for experimental design and statistics.
• A strong product sense to judge user experience quality.
• Ability to communicate clearly with technical and non-technical partners.
• Degree in Computer Science or related field, or equivalent practical experience.

Responsibilities

• Design, build, and evaluate agentic AI capabilities in professional creative apps.
• Turn frontier model capabilities into reliable product behavior.
• Build evaluations and quality measures for open-ended tasks.
• Work with on-device and server foundation models, optimizing for on-device inference.
• Investigate model and agent failures end-to-end to identify causes.
• Collaborate with product engineers, designers, and domain experts to translate workflows into capabilities.

Skills

LLMs / foundation models

Experimental design

Product mindset

Software development

Communication

Education

Bachelor's degree in Computer Science

Tools

PyTorch

JAX

TensorFlow

Swift

Core ML

Job description

Pittsburgh, Pennsylvania, United States Machine Learning and AI

Creator Studio is building agentic intelligence inside Apple's professional creative apps. We aim for machine intelligence to assist and enhance creators’ intent and vision, complementing creators rather than replacing it. This team has unusual leverage: our work spans many apps, and getting a capability right lifts a whole family of professional creative tools at once.The team is established and growing. We're looking for ML engineers who want to define the product. That means less time on models in isolation and more on the experiences they make possible, working next to the designers, quality teams, app teams, and engineers who own the workflows.

Description

You work where a frontier model meets the real depth of a professional creative app. The job is to make that meeting useful. A model's raw capability is not yet a feature, and turning it into something that helps inside a real project and holds up well enough to ship is most of what you'll do. Creative work is open-ended. That makes it hard to do well, and hard to measure. So you'll spend as much time on evaluation, prompting, and the tools and skills a model reaches for as on the models themselves.The best creative software makes someone more capable while leaving them in charge. That balance is the hard part. The assistant should help a person move faster and push an idea further, with the craft still theirs, and getting it right is a product question as much as a modeling one. It sits at the center of this role.

Responsibilities

• Design, build, and evaluate agentic AI capabilities that let people accomplish real work in professional creative apps.
• Turn frontier model capability into reliable product behavior through agentic architecture, tool and skill design, and structured output.
• Build rigorous evaluations and quality measures for open-ended, hard-to-score creative tasks, and use them to drive model and system improvements.
• Work with on-device and server foundation models, including optimizing for the constraints of on-device inference.
• Investigate model and agent failures end to end — from the user-visible symptom to the underlying cause.
• Partner with product engineers, designers, the teams behind our creative apps, and creative-domain experts to translate real workflows into capabilities.

Minimum Qualifications

• 3+ years developing and shipping reliable, maintainable, testable code, or equivalent demonstrated experience.
• Hands‑on experience applying LLMs / foundation models or multimodal ML to real products or projects, e.g. prompting, fine‑tuning, retrieval, evaluation, or agentic systems.
• Strong intuition for experimental design and a repertoire of statistical techniques to measure genuine effects from noise.
• A strong product sense: the judgment to ask not only "can the model do this?" but "is this the right experience?"
• Ability to work effectively in a fast‑paced environment and to communicate clearly with technical and non-technical partners.
• Bachelor's degree in Computer Science or a related field, or equivalent practical experience.

Preferred Qualifications

• Experience building agentic systems, LLM tool-use / function-calling, or evaluation harnesses.
• Deep, hands‑on experience as a professional or power user of creative tools — DAWs, NLEs, image editors, office productivity apps, or design suites. You know these workflows from the inside, and you have a point of view about what helps a creator and what gets in the way. Experience with Apple's own creative apps is not required.
• We welcome non-traditional backgrounds: demonstrated product judgment and creative-domain expertise can matter as much as a conventional Computer Science or ML resume.
• Strong programming skills in Python and experience with deep-learning toolkits like PyTorch, JAX, or TensorFlow.
• Experience optimizing models and algorithms to run efficiently on resource‑constrained / on‑device platforms such as Core ML.
• Experience with Swift and iOS/macOS development.
• A record of publications or patents in relevant areas.

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

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Apple accepts applications to this posting on an ongoing basis.