Machine Learning Engineer - Visual Agents - Special Projects

Apple Inc

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $126,800–$220,900 / yr
Posted: 55 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $219k

This role $174k

$111k most similar roles pay here $279k

This role pays less than 82% of similar roles. Most pay $188,625–$249,750 — the shaded band above. At the midpoint, this role pays about $174k versus about $219k 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.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Machine Learning Engineer - Visual Agents - Special Projects

Apply Now Log in to save

As a Machine Learning Engineer at Apple’s Special Projects team, you will join a dynamic group dedicated to advancing agentic vision-language technologies. Your role involves building and fine-tuning models that integrate visual context into conversational interactions, curating multimodal datasets for training and evaluation, and developing automated pipelines for rigorous model assessment. You will work closely with researchers to define evaluation criteria and conduct controlled experiments to measure model performance and identify areas for improvement. Essential skills include hands-on experience with vision-language models, proficiency in Python and ML frameworks like PyTorch or TensorFlow, and a background in computer science or machine learning. This role offers the opportunity to tackle complex challenges at the forefront of multimodal AI research and development.

Skills

Python PyTorch TensorFlow vision-language models multimodal systems LLMs VLMs automated evaluation pipelines LLM-as-judge frameworks human evaluation protocols domain-specific benchmarks statistical analysis controlled experiments

What you'll do

Build and evaluate vision-language agents that integrate visual context into conversational interactions.
Curate and annotate multimodal datasets to support model training and evaluation processes.
Develop automated evaluation pipelines, including human evaluation protocols and domain-specific benchmarks.
Fine-tune Large Language Models (LLMs) and Visual-Language Models (VLMs) for specific use cases.
Design controlled experiments to measure model capabilities and identify failure modes.

What we're looking for

2+ years of hands-on experience building and evaluating generative AI or multimodal models.
Bachelor’s or Master’s degree in Computer Science or Machine Learning.
Experience working with vision-language models or multimodal systems.
Proficiency in Python and ML frameworks like Pytorch or Tensorflow.
Ability to translate product requirements into measurable evaluation criteria.