Machine Learning and Applied Research, Responsible AI and Safety

Apple Inc

Confirmed live 2 days ago Low trust

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Work type: On-site
Location: Pittsburgh, PA
Posted: 148 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $231k

$172k most similar roles pay here $302k

This listing doesn't post a salary. Most similar roles pay $202,612–$259,212.

Based on 240 similar postings.

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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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TL;DR · Machine Learning and Applied Research, Responsible AI and Safety

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AIML - Machine Learning and Applied Research, Responsible AI and Safety is a role within the team leading Responsible AI and Safety initiatives for global generative AI products. Working at the intersection of policy, product, and GenAI, you will shape safety policies alongside leadership, engineering, legal, and regulatory stakeholders to balance user protection with product innovation. You will collaborate with machine learning researchers, software engineers, and design teams to develop solutions for Apple products. Your daily work involves producing safety evaluations through thoughtful data sampling, creation, and curation of evaluation datasets, as well as high-quality annotation and auto-grading to assess feature performance. The role requires expertise in generative models including Transformers, LLMs, VLMs, NLP, Computer Vision, and diffusion models. You will address critical challenges regarding fairness and bias within these complex systems.

Skills

Generative AI LLMs Transformers VLMs NLP Computer Vision Diffusion Models Foundation Models Responsible AI Data Sampling Machine Learning Research

What you'll do

Shape safety policies for global generative AI products in partnership with leadership and legal stakeholders.
Develop and deliver technical solutions for machine learning research and real-world product use cases.
Perform thoughtful data sampling, creation, and curation for evaluation datasets.
Create high-quality, detailed annotations to assess feature performance.
Implement auto-grading systems to evaluate model outputs.
Analyze evaluation results to determine the impact on user experience.
Address fairness and bias issues within generative AI systems to ensure equitable technology.

What we're looking for

Minimum of 3 years of experience in machine learning, including work with generative models (Transformers, LLMs, VLMs), NLP, or Computer Vision.
At least 4 years of research or product deployment record in responsible AI areas.
Proven track record of publications in top ML venues such as ACL, CVPR, ICML, or NeurIPS.
Strong knowledge of machine learning principles and development methodologies for LLMs, foundation models, and diffusion models.
Experience working with generative models for evaluation and product development, including knowledge of common challenges and failures.
Bachelor's, Master's, or PhD degree in Computer Science, Machine Learning, or a related field.
Experience working specifically in the Responsible AI space.
Proven success contributing in highly cross-functional environments and shipping complex AI systems at global scale.

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