Senior Machine Learning Engineer

Apple Inc

Confirmed live 2 days ago Trusted

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $184,700–$277,600 / yr
Posted: 140 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $225k

This role $231k

$174k most similar roles pay here $289k

This role pays less than 52% of similar roles. Most pay $194,850–$254,750 — the shaded band above. At the midpoint, this role pays about $231k versus about $225k 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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Senior Machine Learning Engineer

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The Sr. Machine Learning Engineer joins the Siri and Information Intelligence team, specifically within the Search Safety group. In this role, you will build and deploy state-of-the-art machine learning models designed to detect, demote, and filter harmful, abusive, or policy-violating content across a search ecosystem. You will address complex challenges including query intent understanding, adversarial evasion, jailbreaking, and multimodal content filtering while integrating safety signals into ranking and retrieval pipelines. The role requires proficiency in at least two programming languages such as Python, Go, Java, or C/C++, along with experience using PyTorch, TensorFlow, or JAX for training and deploying deep learning models. You will work at the intersection of Search, Natural Language Processing, Image, and Trust & Safety to ensure information safety and search technologies remain robust against various threats.

What does a Machine Learning Engineer earn in California?

Median $246394 from 172 postings across 28 companies.

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Skills

Machine Learning Natural Language Processing PyTorch TensorFlow JAX Python Go Java C++ Computer Vision Deep Learning Content Moderation Adversarial Training Search Ranking Information Retrieval Multimodal Content Filtering

What you'll do

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

What we're looking for

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