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# Sr. Machine Learning Engineer

- **Company:** Apple Inc.
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $184,700.0 - $263,300.0
- **Contract:** Permanent contract
- **Skills:** C (Programming Language), Java (Programming Language), Artificial Intelligence, Apple Products, Computer Vision, Email Filtering, Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, Pytorch, Deep Learning, Siri, Information Technology, Machine Learning Operations, Golang
- **Published:** November 4, 2026
- **Apply:** https://www.juju.com/job/7_93B0336E3D3094F23A2134C28E5113D0

## About the Role

If you are passionate about protecting users and building robust ML systems at scale, we want you on our team.Minimum Qualifications3+ years of industry related experience, working in collaborative environmentsExperience with utilizing PyTorch, TensorFlow, or JAX for training and deploying deep learning modelsUnderstanding product requirements then translating them into modeling tasks and engineering tasksProficient in at least two programing languages such as: Python, Go, Java, C/C++BS in Computer Science, Artificial Intelligence, Machine Learning, Safety, Computer Vision or related field or equivalent work experiencePreferred QualificationsExperience working on content moderation, spam detection, fraud, or Trust & Safety ML teams.Experience in red-teaming, adversarial training, or robustness evaluation of ML models.Building machine-learned models and integrating safety signals directly into the search ranking and retrieval pipelines, balancing safety constraints with search relevance and

## Description

We are part of a wider effort to power information across a variety of Apple products - including Siri, Spotlight, Safari, Messages, Lookup, and more.
We are deeply committed to ensuring that our platform remains a safe, welcoming, and trustworthy environment for everyone.DescriptionWe are looking for a highly skilled Machine Learning Engineer to join our Search Safety team.
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 our search ecosystem.
You will work at the intersection of Search, Natural Language Processing (NLP), Image and Trust & Safety, addressing complex challenges like query intent understanding, adversarial evasion, jailbreaking, and multimodal content filtering.