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
49 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, translating cutting-edge research into high-performance systems that enhance user experiences across Siri, Photos, Music, and other services. Your day-to-day responsibilities include collaborating with cross-functional teams to develop and optimize the inference stack, setting strategic direction, and fostering an innovative environment. Essential skills include in-depth experience with LLMs and Generative AI, proven ability to apply research to practical applications, and leadership in a fast-paced setting. Preferred qualifications are an advanced degree in Computer Science or related fields, along with ongoing professional development in Machine Learning and AI domains.

Skills

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

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 cutting-edge research into practical applications.
  • Strong problem-solving skills and leadership abilities in a fast-paced environment.
  • Published research in Machine Learning or AI fields.
  • Advanced degree (Master’s or Ph.D.) in Computer Science, Artificial Intelligence, or related field.
  • Commitment to ongoing professional development in Machine Learning and AI.

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