ML Engineer, Creator Studio

Apple Inc

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: Pittsburgh, PA
Posted: 70 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Similar $225k

$155k $291k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $195,112–$254,750.

Based on 240 similar postings.

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About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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At a glance

TL;DR · ML Engineer, Creator Studio

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ML Engineer - Creator Studio joins the Creator Studio team to build agentic intelligence within professional creative applications. This role focuses on transforming frontier model capabilities into reliable product behaviors by designing agentic architectures, tool use, and structured outputs. You will build and evaluate AI capabilities that assist creators while ensuring they remain in control of the creative process. Daily responsibilities include developing rigorous evaluations for open-ended tasks, investigating model failures, and optimizing on-device and server foundation models. Key technologies and skills include Python, PyTorch, JAX, TensorFlow, Swift, and Core ML. You will also utilize prompting, fine-tuning, and retrieval techniques. The work involves solving the technical challenge of integrating multimodal ML into complex workflows for tools like DAWs, image editors, and design suites.

Skills

LLMs Foundation Models Agentic Systems Python PyTorch JAX TensorFlow Core ML Swift iOS macOS Fine-tuning Retrieval Prompting Evaluation Multimodal ML On-device Inference

What you'll do

Design and build agentic AI capabilities for professional creative applications.
Convert frontier model capabilities into reliable product behaviors using agentic architecture and structured outputs.
Develop rigorous evaluation metrics and quality measures for open-ended creative tasks.
Optimize on-device and server foundation models for specific hardware constraints.
Perform end-to-end investigations into model and agent failures to identify underlying causes.
Translate real-world creative workflows into technical capabilities by partnering with designers and domain experts.

What we're looking for

3+ years of experience developing and shipping reliable, maintainable, and testable code.
Hands-on experience applying LLMs, foundation models, or multimodal ML to real products or projects.
Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
Strong intuition for experimental design and a repertoire of statistical techniques to measure effects from noise.
Ability to communicate clearly with technical and non-technical partners in a fast-paced environment.
Strong product sense to determine if model capabilities provide the right user experience.
Strong programming skills in Python and experience with deep-learning toolkits like PyTorch, JAX, or TensorFlow (preferred).
Experience building agentic systems, LLM tool-use, or evaluation harnesses (preferred).

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