AIML - ML Researcher, AFM

Apple Inc

Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $171,600–$302,200 / 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 $237k

$129k most similar roles pay here $321k

This role pays more than 75% of similar roles. Most pay $166,375–$236,900 — the shaded band above. At the midpoint, this role pays about $237k 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.

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At a glance

TL;DR · AIML - ML Researcher, AFM

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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. Ideal candidates possess hands-on experience with large language models, building end-to-end voice models, speech recognition and generation, reinforcement learning, and post-training optimization of large-scale models. This role requires expertise in Python, TensorFlow, PyTorch, and other relevant tools, as well as a deep understanding of neural networks and machine learning frameworks.

Skills

Python PyTorch TensorFlow Keras Hugging Face Transformers CUDA NVIDIA GPUs Docker CI/CD Git Jupyter Notebook PostgreSQL MongoDB AWS Sagemaker Google Cloud AI Platform

What you'll do

Conduct cutting-edge research in foundation models and deep learning.
Publish findings in top-tier conferences like NeurIPS, ICML, ICLR, ACL.
Develop and apply deep learning techniques to enhance product features.
Work on end-to-end voice interaction systems for advanced AI applications.
Specialize in speech recognition and generation technologies.

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.

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