Machine Learning Engineer - Large Language Models & Generative AI Inference

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$147,400–$272,100 / yr
Posted
3 days ago
Nearby
99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $214k
This role $210k
$132k most similar roles pay here $287k

This role pays less than 51% of similar roles. Most pay $180,501–$246,706 — the shaded band above. At the midpoint, this role pays about $210k 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.

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At a glance

TL;DR · Machine Learning Engineer - Large Language Models & Generative AI Inference

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Join the Apple Intelligence Platform Inference Team as a senior Machine Learning Engineer, where you will lead the exploration and application of Large Language Models (LLMs) and Generative AI to enhance user experiences across Siri, Photos, Music, and other services. Your day-to-day responsibilities include translating cutting-edge research into high-performance systems and model serving stacks, collaborating with cross-functional teams to develop evolving requirements for the GenAI inference stack, and contributing to strategic direction setting that fosters innovation and professional growth within the team. Ideal candidates possess in-depth experience with LLMs and Generative AI, published research in Machine Learning or AI, and a strong background in Computer Science, Artificial Intelligence, or related fields, along with proven leadership and problem-solving skills.

Skills

Python TensorFlow PyTorch Docker Kubernetes AWS CI/CD PostgreSQL Redis Scikit-learn Hugging Face Transformers CUDA Git Jupyter Notebook Prometheus Grafana

What you'll do

  • Lead exploration and application of Large Language Models and Generative AI.
  • Translate cutting-edge research into high-performing systems for practical use.
  • Set strategic direction to foster innovation and growth within the team.
  • Develop and implement evolving requirements for GenAI inference stack.
  • Collaborate with cross-functional teams to optimize performance and align with business goals.

What we're looking for

  • In-depth experience with Large Language Models and Generative AI.
  • Proven ability to translate research into high-performing systems.
  • Strong leadership skills for guiding team research and applications.
  • Published research in Machine Learning or AI fields.
  • Advanced degree (Master’s or Ph.D.) in a relevant technical field.
  • Commitment to ongoing professional development in ML and AI.

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