Staff Applied Research and ML , Responsible AI and Safety

Apple Inc

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$201,300–$367,400 / yr
Posted
56 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $218k
This role $284k
$158k most similar roles pay here $390k

This role pays more than 90% of similar roles. Most pay $190,225–$246,150 — the shaded band above. At the midpoint, this role pays about $284k versus about $218k 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.

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View all roles at Apple Inc

At a glance

TL;DR · Staff Applied Research and ML , Responsible AI and Safety

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Join our dynamic team as a Staff Applied Research and ML specialist focusing on Responsible AI and Safety at Apple. This senior role involves advancing red-teaming methods for large language models (LLMs) and diffusion models, developing tools and metrics to assess model safety throughout the deployment lifecycle, and creating techniques to interpret and explain failures in language models. Ideal candidates possess a PhD or equivalent experience in Computer Science, with expertise in ML research and production deployment. Strong candidates will also have a publication record in top-tier conferences such as NeurIPS, ICML, ICLR, and EMNLP, along with hands-on experience in Responsible AI and AI Safety.

Skills

LLM Diffusion_models Python R TensorFlow PyTorch CI/CD GitHub Jupyter_Notebook PostgreSQL Red_Teaming AI_Safety Responsible_AI NLP Machine_Learning

What you'll do

  • - Research and advance red teaming methods for large language models (LLMs) and diffusion models.
  • - Develop tools and metrics to assess LLM safety throughout the deployment lifecycle.
  • - Create datasets for evaluating model performance and identifying potential issues.
  • - Implement methods and tools to interpret and explain failures in language models.
  • - Contribute to advancing the field of Responsible AI and AI Safety.

What we're looking for

  • PhD or equivalent experience in Computer Science or a related technical field.
  • Demonstrated expertise in ML research and production deployment lifecycle.
  • Deep understanding of large language models (LLMs).
  • Publication record in top-tier conferences like NeurIPS, ICML, ICLR, EMNLP.
  • Experience working on Responsible AI and AI Safety initiatives.

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