This role pays more than
82%
of similar roles. Most pay
$198,800–$249,750
— the shaded band above.
At the midpoint, this role pays about
$250k
versus about
$224k
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
1777 open roles
on FindRole.
Listed pay typically runs
$162,500–$272,100
across 1443 roles with salary data.
As a Machine Learning Engineer at Apple Services Engineering, you will join the GenAI & ML Frameworks team focused on integrating foundation model capabilities into production systems. Your primary responsibilities include continual pretraining and post-training of large language models (LLMs), agentic reinforcement learning, and optimizing system integration for latency, cost, and reliability. You will work closely with product, infrastructure, and foundation model teams to develop robust tooling around synthetic data generation, evaluation, and training pipelines, ensuring that cutting-edge LLM research translates into scalable production features. Ideal candidates have a strong background in quantitative fields such as Computer Science or Mathematics, proficiency in Python, and hands-on experience with deep learning frameworks like Jax, TensorFlow, or PyTorch. Experience in deploying large models and building distributed systems is essential, along with expertise in natural language processing and deep learning.