Machine Learning Engineer- Gen AI

Apple Inc

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$139,500–$210,100 / yr
Posted
37 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $213k
This role $175k
$125k most similar roles pay here $277k

This role pays less than 76% of similar roles. Most pay $176,000–$249,750 — the shaded band above. At the midpoint, this role pays about $175k versus about $213k 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 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

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View all roles at Apple Inc

At a glance

TL;DR · Machine Learning Engineer- Gen AI

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As a Machine Learning Engineer at the Operations and Supply Chain team, you will lead the development of machine learning solutions from inception to deployment, including problem conceptualization, proof-of-concept creation, and final implementation. Your daily tasks involve performing ad-hoc statistical analyses and collaborating closely with data engineers to develop detailed business intelligence solutions. You must be proficient in GenAI tools like Claude Code and Roo Code, familiar with distributed computing and cloud infrastructure such as Kubernetes and Apache Airflow, and skilled in presenting complex ML concepts clearly to diverse audiences, including executives. Ideal candidates have a master’s degree in AI, machine learning, or related fields and at least three years of experience in developing GenAI applications and large language models (LLM) or multimodal models (LMM).

Skills

Kubernetes Apache Airflow Docker LangChain LlamaIndex Roo Code Claude Code Python Ray PostgreSQL MLOps CI/CD Prometheus Grafana

What you'll do

  • Develop machine learning solutions from problem conceptualization to final deployment.
  • Perform ad-hoc statistical analyses for business intelligence solutions.
  • Work closely with data engineers to generate detailed business intelligence.
  • Fine-tune large language models (LLM) and multimodal models (LMM).
  • Present complex ML/LLM concepts clearly to non-technical audiences, including executives.

What we're looking for

  • 3+ years of experience in GenAI applications, machine learning algorithms, software engineering, and data mining models.
  • Masters degree in AI, Machine Learning, Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, or Electrical Engineering.
  • Experience with large language models (LLM) and large multimodal models (LMM).
  • Proficiency in using cutting-edge GenAI tools like Claude Code and Roo Code.
  • Familiarity with distributed computing, cloud infrastructure, and orchestration tools for LLM training and inference at scale.
  • Ability to present complex ML/LLM concepts clearly to non-technical audiences.

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