AIML - ML Researcher, AFM

Apple Inc

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $181,100–$318,400 / yr
Posted: 3 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $202k

This role $250k

$127k most similar roles pay here $339k

This role pays more than 88% of similar roles. Most pay $166,375–$236,900 — the shaded band above. At the midpoint, this role pays about $250k versus about $202k 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 - ML Researcher, AFM

Role Posting Log in to save

As an ML Researcher at the AI Foundation Models team, you will collaborate with a dynamic group of engineers and scientists to address cutting-edge challenges in foundation models and deep learning. Your daily tasks will involve advancing research in areas such as end-to-end voice interactions, natural language processing, and integrating knowledge into learning systems. You should be proficient in deep learning techniques and have a strong publication record or practical experience applying these methods to real-world products. Preferred skills include coding large language models, developing end-to-end voice models, and expertise in speech recognition and generation, reinforcement learning, and post-training optimization of large-scale models. This role demands an expert understanding of the latest advancements in AI and machine learning to drive innovation at a significant scale within the company's product ecosystem.

Skills

Python PyTorch TensorFlow Keras Hugging Face Transformers CUDA NVIDIA GPUs Docker CI/CD Git Jupyter Notebook PostgreSQL MongoDB AWS Google Cloud Platform Azure Scikit-learn NLTK Pandas

What you'll do

Conduct cutting-edge research in foundation models and deep learning.
Develop and publish papers in top-tier AI conferences like NeurIPS and ICML.
Apply deep learning techniques to enhance voice interaction systems.
Build end-to-end voice models for advanced speech recognition and generation.
Implement reinforcement learning methods for training large language models.

What we're looking for

Demonstrated expertise in deep learning with relevant conference publications.
Track record of applying deep learning techniques to real-world products.
Experience coding and developing large language models.
Background in building end-to-end voice interaction systems.
Proficiency in speech recognition and generation technologies.
Knowledge of reinforcement learning, including on-policy distillation methods.

Save