Staff Applied Research and ML, Responsible AI and Safety

Apple Inc

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $216,200–$394,000 / yr
Posted: 148 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $231k

This role $305k

$160k most similar roles pay here $419k

This role pays more than 92% of similar roles. Most pay $202,800–$259,421 — the shaded band above. At the midpoint, this role pays about $305k versus about $231k 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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 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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Staff Applied Research and ML , Responsible AI and Safety joins the team to advance generative AI applications by focusing on safety and reliability. The role involves researching and advancing red teaming methods for large language models and diffusion models while developing mitigations and safeguards to ensure safe deployment across products. Day-to-day responsibilities include building tools, metrics, and datasets to evaluate model safety throughout the deployment lifecycle and creating methods to interpret and explain failures in language models. Candidates must possess deep understanding of large language models and experience with deep learning toolkits like TensorFlow or PyTorch. The position requires expertise in machine learning research and production deployment cycles to solve critical problems regarding responsible AI and safety within the context of generative model integration into consumer technology products.

Skills

LLM Diffusion Models PyTorch TensorFlow Machine Learning Deep Learning AI Safety Red Teaming Research

What you'll do

Research and advance red teaming methods for LLMs and diffusion models.
Develop mitigations and safeguards to ensure the safe deployment of LLMs in Apple products.
Create tools, metrics, and datasets to assess and evaluate LLM safety throughout the deployment lifecycle.
Develop methods and tools to interpret and explain failures in language models.
Formulate research problems and design, experiment, and implement technical solutions.
Apply deep learning toolkits like TensorFlow or PyTorch to solve complex AI challenges.

What we're looking for

A PhD or equivalent experience in Computer Science or a related technical field is helpful.
Demonstrated expertise in ML research and/or the ML production deployment lifecycle.
Deep understanding of Large Language Models (LLMs).
Hands-on experience with deep learning toolkits such as TensorFlow or PyTorch.
Ability to formulate, design, experiment, implement, and communicate solutions for research problems.
Experience working on Responsible AI and AI Safety is preferred.
A publication record in relevant conferences like NeurIPS, ICML, ICLR, or EMNLP is preferred.
Ability to work effectively in a diverse collaborative environment.

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