Senior ML Research Engineer, AFM Safety

Apple Inc

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Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $184,700–$324,800 / yr
Posted: 65 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

Above market

How this pay compares to similar roles

Similar $222k

This role $255k

$156k most similar roles pay here $343k

This role pays more than 79% of similar roles. Most pay $189,750–$254,750 — the shaded band above. At the midpoint, this role pays about $255k versus about $222k for comparable roles.

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 3587 open roles on FindRole.

Listed pay typically runs $165,800–$277,600 across 2768 roles with salary data.

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At a glance

TL;DR · Senior ML Research Engineer, AFM Safety

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AIML - Senior ML Research Engineer, AFM Safety will join a team dedicated to developing safe and reliable foundation models. This role involves leading research and applying methods to ensure large language models remain safe, fair, and robust while meeting strict privacy and quality standards. You will build safety solutions for agentic systems, including tool use, and develop data and evaluations to address security risks. Key responsibilities include defining model character and persona, improving alignment and robustness, and building training and evaluation methods for audio and vision modalities. The role requires a strong machine learning background, proficiency in coding with real-world codebases, and experience with LLM post-training. You will collaborate across teams to solve problems related to agentic safety, multimodal safety, and consistent model behavior across various contexts.

Skills

Machine Learning Large Language Models LLMs Safety Alignment Multimodal Safety Agentic Safety Post-training

What you'll do

Develop and deliver safety methods for foundation models focusing on agentic, persona, and multimodal safety.
Research security risks of agentic systems including tool use and develop corresponding data and evaluations.
Define and safeguard the model's character and persona to ensure consistent behavior across contexts.
Create training and evaluation frameworks for foundation models with a focus on audio and vision modalities.
Research and improve safety alignment and robustness methods for large language models.
Partner with product teams to define requirements and drive quality and delivery of safety solutions.

What we're looking for

Strong ML background with hands-on experience training models and a record of results shown through publications or other evidence of impact.
Strong coding skills, including the ability to work with messy, real-world codebases.
Willingness to work with sensitive content, including exposure to offensive or controversial material.
Strong collaboration and communication skills.
BS, MS, or PhD in Computer Science, Machine Learning, or a related field, or equivalent experience (preferred).
Direct experience with LLMs and post-training methods, including safety alignment (preferred).
Experience in agentic safety, model character and persona design, or multimodal safety (preferred).
Strong organizational skills and experience working across large, diverse teams (preferred).

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