Machine Learning Engineer, AI Evaluation & LLM Systems

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $150,400–$225,300 / yr
Posted: 43 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $223k

This role $188k

$135k most similar roles pay here $291k

This role pays less than 77% of similar roles. Most pay $192,050–$254,750 — the shaded band above. At the midpoint, this role pays about $188k versus about $223k 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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Machine Learning Engineer, AI Evaluation & LLM Systems

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Machine Learning Engineer - AI Evaluation & LLM Systems joins the team building evaluation systems for next-generation AI experiences. In this role, you will develop scalable infrastructure, intelligent evaluators, and data-driven methodologies to measure and improve the quality of large language models and multimodal AI systems. You will collaborate with researchers, software engineers, and product teams to translate research into production-ready solutions while analyzing model behavior and identifying regressions. The work involves building evaluation frameworks, benchmarking tools, and robust infrastructure for training and large-scale data processing. Required skills include proficiency in Python, familiarity with C++ or other object-oriented languages, and experience with frameworks like PyTorch, TensorFlow, or JAX. You will apply machine learning fundamentals, including supervised learning and statistical analysis, to solve technical problems at the intersection of AI, data, and software engineering.

What does a Machine Learning Engineer earn in California?

Median $246394 from 172 postings across 28 companies.

See salary data

Skills

Python C++ PyTorch TensorFlow JAX LLM Multimodal AI Generative AI Git CI/CD Distributed Computing Cloud Platforms Data Processing Statistical Analysis Machine Learning Software Engineering

What you'll do

Develop and deploy evaluation systems and scalable software to improve the quality of AI experiences.
Build robust infrastructure to support model training, benchmarking, and large-scale evaluation.
Analyze model performance and identify specific quality issues or regressions in LLM behavior.
Create innovative techniques and methodologies to measure and improve multimodal AI systems.
Translate machine learning research into production-ready software solutions.
Analyze large-scale datasets to inform the development of benchmarking tools.
Contribute to system architecture, code reviews, and engineering best practices.

What we're looking for

MS or PhD in Computer Science, Machine Learning, Electrical Engineering, or a related technical field, or equivalent practical experience.
1–2 years of industry experience, or equivalent academic or internship experience, developing machine learning or AI solutions.
Proficiency in Python and familiarity with C++ or another object-oriented programming language.
Experience with one or more machine learning frameworks such as PyTorch, TensorFlow, or JAX.
Understanding of machine learning fundamentals, including supervised learning, model evaluation, and statistical analysis.
Experience with data processing, model training, or experimentation through coursework, research, internships, or industry projects.
Experience with large language models (LLMs), multimodal AI, or generative AI.
Familiarity with distributed computing, cloud platforms, or large-scale data processing.