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: Cupertino, CA
Posted: 148 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

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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. You will operate at the intersection of policy, product, and GenAI to shape safety policies while collaborating with machine learning researchers, software engineers, and design teams. Your daily work involves developing groundbreaking solutions and producing safety evaluations that uphold core values through thoughtful data sampling, creation, and curation for evaluation datasets. You will also perform detailed annotations and auto-grading to assess feature performance and analyze results for the user experience. The role requires expertise in generative models including Transformers, LLMs, VLMs, NLP, Computer Vision, and diffusion models. You must possess strong research fundamentals and knowledge of common challenges regarding foundation models and fairness in generative AI 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 regulatory stakeholders.
Develop and deliver technical solutions for machine learning research and real-world product use cases.
Create and curate high-quality data samples for evaluation datasets.
Perform detailed annotations and auto-grading to assess feature performance.
Analyze evaluation results to determine the impact on user experience.
Implement safety measures that balance user protection with product innovation.

What we're looking for

At least 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.
Publications in top ML venues such as ACL, CHI, CVPR, EMNLP, FAccT, ICML, Interspeech, NeurIPS, or UIST.
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.
A PhD, MS, or BS 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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