ML Engineer

Apple Inc

Confirmed live 2 days ago Trusted

Quick summary

Work type: On-site
Location: Pittsburgh, PA
Posted: 24 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $222k

$160k most similar roles pay here $288k

This listing doesn't post a salary. Most similar roles pay $189,737–$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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · ML Engineer

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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 agentic architecture, tool design, and structured outputs. Your daily work involves developing rigorous evaluations for open-ended creative tasks, investigating model failures end-to-end, and collaborating with designers and domain experts to translate workflows into features. You will work with on-device and server foundation models, optimizing for on-device inference constraints. Required skills include experience with LLMs or multimodal ML, prompting, fine-tuning, and retrieval. Technical requirements include Python, PyTorch, JAX, or TensorFlow, along with potential experience in Swift and Core ML to support the integration of machine intelligence into professional creative tools.

Skills

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

What you'll do

Design and build agentic AI capabilities to help users complete tasks in professional creative apps.
Convert raw frontier model capabilities into reliable product behaviors through agentic architecture and structured outputs.
Develop rigorous evaluation frameworks and quality measures for open-ended, hard-to-score creative tasks.
Optimize on-device and server foundation models to perform efficiently under specific hardware constraints.
Investigate and debug model and agent failures from the user-facing symptom down to the root cause.
Translate complex creative workflows into functional technical capabilities by collaborating with designers and domain experts.

What we're looking for

Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
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.
Strong intuition for experimental design and statistical techniques to measure effects from noise.
Ability to communicate clearly with both technical and non-technical partners in a fast-paced environment.
Experience building agentic systems, LLM tool-use/function-calling, or evaluation harnesses (preferred).
Deep experience as a power user of creative tools like DAWs, NLEs, image editors, or design suites (preferred).
Proficiency in Python and deep-learning toolkits such as PyTorch, JAX, or TensorFlow (preferred).