Senior ML Research Engineer, AFM Safety

Apple Inc

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Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $175,000–$308,500 / yr
Posted: 65 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Competitive pay

How this pay compares to similar roles

Similar $222k

This role $242k

$158k most similar roles pay here $325k

This role pays more than 62% of similar roles. Most pay $189,750–$254,750 — the shaded band above. At the midpoint, this role pays about $242k 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 joins the team focused on developing safe and reliable foundation models. This role involves leading research and applying methods to ensure large language models remain safe, fair, and robust at scale. You will define safety methods for agentic systems, tool use, model character, persona, and multimodal safety across audio and vision. Day-to-day responsibilities include building data and evaluations to address security risks, improving alignment and robustness, and collaborating with cross-functional teams to meet product requirements. The role requires a strong machine learning background, experience in post-training methods for large language models, and proficiency in coding within complex codebases. You will solve critical problems regarding the safety of agentic systems while ensuring products maintain high standards for privacy and quality across various modalities including audio and vision.

Skills

Machine Learning Large Language Models Safety Alignment Agentic Systems Tool Use

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 clear evidence of impact.
Strong coding skills, including the ability to work with messy, real-world codebases.
Ability to quickly pick up skills needed for safety post-training if not already experienced with LLMs.
Strong collaboration and communication skills.
Willingness to work with sensitive content, including exposure to offensive or controversial material.
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).

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