Machine Learning Engineer, Proactive - Large Language Models & Generative AI Inference

Apple Inc

Quick summary

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

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $215k
This role $210k
$132k most similar roles pay here $287k

This role pays less than 54% of similar roles. Most pay $183,608–$246,237 — the shaded band above. At the midpoint, this role pays about $210k versus about $215k 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 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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At a glance

TL;DR · Machine Learning Engineer, Proactive - 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, contributing to strategic direction, and collaborating with cross-functional teams to optimize the GenAI inference stack. Ideal candidates possess in-depth experience with LLMs and Generative AI, along with a track record of published research and strong leadership skills. Advanced degrees in Computer Science or related fields are preferred, as is ongoing professional development in Machine Learning and AI domains. This role offers an unparalleled opportunity to shape the future of Apple’s intelligent systems at scale.

Skills

Python TensorFlow PyTorch Kubernetes Docker CI/CD AWS Azure Google Cloud Platform PostgreSQL MongoDB Git Jupyter Notebook Scikit-learn CUDA NVIDIA GPUs REST APIs Swagger/OpenAPI JSONschema

What you'll do

  • Lead the 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 encourage innovation 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-performance 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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