Staff Applied Research and ML , Responsible AI and Safety

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$212,000–$386,300 / 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 $299k
$155k most similar roles pay here $411k

This role pays more than 94% of similar roles. Most pay $190,225–$246,150 — the shaded band above. At the midpoint, this role pays about $299k 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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At a glance

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

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Join the Applied Research and Machine Learning team at Apple as a Staff-level professional focusing on Responsible AI and safety. This role involves advancing red-teaming methods for large language models (LLMs) and diffusion models, developing tools and metrics to assess model safety throughout their lifecycle, and creating techniques to interpret and explain failures in language models. You will work with cutting-edge technologies such as Python, TensorFlow, PyTorch, and other relevant frameworks while contributing to the broader goal of ensuring ethical AI development. The position requires a deep understanding of LLMs and experience in both ML research and production deployment, ideally complemented by a publication record in top-tier conferences like NeurIPS or ICML.

Skills

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

What you'll do

  • - Research and develop red teaming methods for large language models (LLMs) and diffusion models.
  • - Create tools and metrics to assess the safety of LLMs throughout their deployment lifecycle.
  • - Develop datasets to evaluate the performance and reliability of AI models.
  • - Implement techniques 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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