Senior Machine Learning Engineer

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$175,000–$263,300 / yr
Posted
174 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $229k
This role $219k
$163k $290k
below market most similar roles pay here above market

This role pays less than 59% of similar roles. Most pay $202,800–$254,750 — the blue band above. At the midpoint, this role pays about $219k versus about $229k 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 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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At a glance

TL;DR · Senior Machine Learning Engineer

The Sr. Machine Learning Engineer joins the Search Safety team within the Siri and Information Intelligence group. In this role, you will build and deploy state-of-the-art machine learning models to detect, demote, and filter harmful, abusive, or policy-violating content across the search ecosystem. You will address complex challenges including query intent understanding, adversarial evasion, jailbreaking, and multimodal content filtering. Key responsibilities involve translating product requirements into modeling tasks and integrating safety signals into search ranking and retrieval pipelines. You must be proficient in at least two programming languages such as Python, Go, Java, or C/C++ and have experience with PyTorch, TensorFlow, or JAX. The work focuses on information safety, Natural Language Processing, and Trust & Safety for various products.

What does a Machine Learning Engineer earn in Washington?

Median $241750 from 69 postings across 15 companies.

See salary data

What you'll do

  • Build and deploy state-of-the-art machine learning models to detect and filter harmful or policy-violating content.
  • Translate product requirements into specific modeling and engineering tasks.
  • Address complex challenges including query intent understanding, adversarial evasion, and jailbreaking.
  • Perform multimodal content filtering across the search ecosystem.
  • Integrate safety signals directly into search ranking and retrieval pipelines.
  • Balance safety constraints with search relevance and user engagement.
  • Conduct red-teaming, adversarial training, and robustness evaluations of machine learning models.

What we're looking for

  • 3+ years of industry related experience working in collaborative environments.
  • Experience utilizing PyTorch, TensorFlow, or JAX for training and deploying deep learning models.
  • Ability to translate product requirements into modeling and engineering tasks.
  • Proficiency in at least two programming languages such as Python, Go, Java, or C/C++.
  • BS in Computer Science, Artificial Intelligence, Machine Learning, Safety, Computer Vision, or a related field or equivalent work experience.
  • Experience working on content moderation, spam detection, fraud, or Trust & Safety ML teams (preferred).
  • Experience in red-teaming, adversarial training, or robustness evaluation of ML models (preferred).
  • MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Safety, Computer Vision, or a related field (preferred).

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