Machine Learning Researcher, Foundation Models

Apple Inc

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $147,400–$272,100 / yr
Posted: 3 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $216k

This role $210k

$132k most similar roles pay here $287k

This role pays more than 52% of similar roles. Most pay $182,721–$249,750 — the shaded band above. At the midpoint, this role pays about $210k versus about $216k 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 1833 open roles on FindRole.

Listed pay typically runs $163,300–$272,100 across 1493 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Machine Learning Researcher, Foundation Models

Role Posting Log in to save

As a Machine Learning Researcher at this innovative tech company, you will join a dynamic team of engineers and scientists focused on advancing foundation models and deep learning techniques. Your daily responsibilities include developing cutting-edge solutions for vision-language modeling, image and video generation, and building scalable data pipelines and evaluation systems. Ideal candidates possess expertise in deep learning with proven experience in top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, ACL, NAACL, EMNLP, KDD, and a track record of applying these techniques to real-world products. Preferred qualifications include hands-on experience with vision-language models, image/video generation, large language model training, and reinforcement learning. This role offers the unique opportunity to contribute to groundbreaking research that will enhance user experiences across Apple’s extensive product line.

Skills

Python PyTorch TensorFlow CVPR ICCV ECCV NeurIPS ICML ICLR COLM ACL NAACL EMNLP KDD RF On-Policy Distillation Vision-Language Models Image Generation Video Editing

What you'll do

Develop and enhance vision-language models for advanced understanding and generation.
Build data pipelines and evaluation tools for large-scale visual content analysis.
Train and adapt foundation models for image and video generation tasks.
Apply deep learning techniques to create innovative features in Apple products.
Conduct research on reinforcement learning and distillation methods for efficiency.
Publish findings in top-tier conferences like CVPR, NeurIPS, and ICLR.

What we're looking for

Demonstrated expertise in deep learning with relevant conference publications.
Experience training or adapting vision-language models.
Proficiency in image and video generation or editing techniques.
Knowledge of large language model post-training adaptations.
Background in reinforcement learning and on-policy distillation.

Save