This role pays less than
62%
of similar roles. Most pay
$189,737–$254,750
— the shaded band above.
At the midpoint, this role pays about
$203k
versus about
$222k
for comparable roles.
Based on 240 similar postings.
Employer
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
1984 open roles
on FindRole.
Listed pay typically runs
$175,000–$277,600
across 1590 roles with salary data.
As an ML Engineer - Creator Studio, you will join a growing team building agentic intelligence within professional creative apps to enhance creator intent and vision. You will design, build, and evaluate agentic AI capabilities by transforming frontier model capabilities into reliable product behaviors through tool design, structured output, and robust evaluation measures for open-ended tasks. Your daily work involves investigating model failures, optimizing on-device and server foundation models for inference constraints, and collaborating with designers and domain experts to translate workflows into features. You will utilize Python, PyTorch, JAX, or TensorFlow, while potentially leveraging Swift and Core ML for on-device optimization. The role focuses on the intersection of machine intelligence and creative tools, solving the challenge of making complex model capabilities useful and reliable within professional creative software environments where the user remains in control.
Design and build agentic AI capabilities for professional creative applications.
Transform 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.
Investigate and resolve model and agent failures from user symptoms to root causes.
Translate complex creative workflows into functional technical capabilities through cross-functional collaboration.
What we're looking for
3+ years of experience developing and shipping reliable, maintainable, and testable code or equivalent demonstrated experience.
Hands-on experience applying LLMs, foundation models, or multimodal ML to products through 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 to determine if model capabilities translate into the right user experience.
Ability to work in fast-paced environments and communicate clearly with both technical and non-technical partners.
Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
Experience building agentic systems, LLM tool-use/function-calling, or evaluation harnesses (preferred).
Deep experience as a power user of creative tools, strong Python skills with PyTorch/JAX/TensorFlow, and experience with Swift or on-device optimization (preferred).
LLMs
Foundation Models
Agentic Systems
Python
PyTorch
JAX
TensorFlow
Core ML
Swift
iOS
macOS
Fine-tuning
Retrieval
Evaluation Harnesses
On-device Inference
Multimodal ML
Machine Learning
LLMs
Foundation Models
Agentic Systems
Python
PyTorch
JAX
TensorFlow
Core ML
Swift
iOS
macOS
Prompting
Fine-tuning
Retrieval
Evaluation
Multimodal ML
On-device Inference