AIML - Machine Learning Researcher, Foundation Models

Apple Inc

Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $139,500–$258,100 / 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 $199k

$125k most similar roles pay here $274k

This role pays less than 62% of similar roles. Most pay $182,721–$249,750 — the shaded band above. At the midpoint, this role pays about $199k 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 · AIML - Machine Learning Researcher, Foundation Models

Role Posting Log in to save

As a Machine Learning Researcher at this leading 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 data pipelines and evaluation frameworks for visual understanding and generation, with a particular emphasis on vision-language modeling and image/video generation. Ideal candidates possess expertise in deep learning, as evidenced by publications in top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, ACL, NAACL, EMNLP, KDD, and hands-on experience with large-scale multimodal models and reinforcement learning techniques. This role offers the unique opportunity to contribute to cutting-edge research that will impact billions of users through innovative applications in Apple products.

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 Generation

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 to generate images and videos at scale.
Apply deep learning techniques to create innovative features in Apple products.
Publish research findings in top-tier conferences like CVPR, NeurIPS, or 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 adaptation.
Background in reinforcement learning and on-policy distillation.

Save