Machine Learning Engineer, Proactive — Large Language Models, Generative AI & Agentic Systems

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$181,100–$318,400 / yr
Posted
6 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $214k
This role $250k
$154k most similar roles pay here $336k

This role pays more than 85% of similar roles. Most pay $181,556–$246,150 — the shaded band above. At the midpoint, this role pays about $250k versus about $214k 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.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Machine Learning Engineer, Proactive — Large Language Models, Generative AI & Agentic Systems

Apply Now Log in to save

As a Machine Learning Engineer at Apple’s Intelligence Platform team, you will join a dynamic group focused on leveraging Large Language Models (LLMs), Generative AI, and emerging agentic AI techniques to enhance user experiences across various Apple products. Your day-to-day responsibilities include translating cutting-edge research into production systems, contributing to all phases of model development from experimentation to deployment, and collaborating cross-functionally to ensure alignment with product goals and privacy requirements. You will need a strong background in LLMs, Generative AI, and experience with model training and fine-tuning. Familiarity with agentic AI is beneficial but not required; curiosity and the ability to apply cutting-edge research are key. This role involves working on large-scale systems that require advanced programming skills and an understanding of complex ML frameworks.

Skills

LLMs Generative_AI Agentic_AI Python TensorFlow PyTorch Hugging_Face Docker Kubernetes CI/CD PostgreSQL Redis AWS Azure Git Jupyter_Notebook MLOps

What you'll do

  • Leading exploration and application of LLMs, Generative AI, and agentic AI techniques.
  • Translating cutting-edge research into production-ready ML systems for Apple products.
  • Defining technical direction for LLM-driven and agentic AI capabilities within the Intelligence Platform.
  • Contributing to all phases of model development from experimentation to continuous improvement.
  • Identifying opportunities to incorporate advanced reasoning and grounding patterns into existing ML systems.

What we're looking for

  • Advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or related field.
  • Strong experience with Large Language Models (LLMs) and Generative AI systems.
  • Proven ability to apply cutting-edge research to real-world engineering challenges.
  • Experience in model training, fine-tuning, and building scalable ML systems.
  • Expert programming skills and strong problem-solving abilities.

Related searches

More Machine Learning Engineer jobs Machine Learning Engineer jobs in Cupertino All jobs at Apple Inc

More like this

Similar roles