ML Engineer, Creator Studio

Apple Inc

Confirmed live today Trusted

Quick summary

Work type: On-site
Location: San Diego, CA
Salary: $142,300–$263,300 / yr
Posted: 69 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Competitive pay

How this pay compares to similar roles

Similar $225k

This role $203k

$126k $294k

below market most similar roles pay here above market

This role pays less than 66% of similar roles. Most pay $194,262–$254,750 — the blue band above. At the midpoint, this role pays about $203k versus about $225k for comparable roles.

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 apps. You will design, build, and evaluate agentic AI capabilities that transform frontier model outputs into reliable product behaviors. Day-to-day responsibilities include developing agentic architectures, designing tools and skills, and creating rigorous evaluations for open-ended creative tasks. You will work with on-device and server foundation models, optimizing for on-device inference constraints. The role requires proficiency in Python and deep-learning toolkits like PyTorch, JAX, or TensorFlow, along with experience in LLMs, prompting, fine-tuning, and retrieval. You will collaborate with designers and engineers to translate complex creative workflows into functional features, solving the technical challenge of balancing model capabilities with user intent in professional creative software environments.

Skills

LLMs Agentic Systems Python PyTorch JAX TensorFlow Core ML Swift iOS macOS Multimodal ML Fine-tuning Retrieval Statistical Techniques deep-learning

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 tool design.
Develop rigorous evaluation metrics and quality measures for open-ended creative tasks.
Optimize foundation models for efficient inference on resource-constrained on-device platforms.
Investigate model and agent failures from user-visible symptoms down to 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 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).
Experience optimizing models for resource-constrained or on-device platforms like Core ML (preferred).

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