Job description

We 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. If you are passionate about protecting users and building robust ML systems at scale, we want you on our team. 3+ years of industry related experience, working in collaborative environments Experience with utilizing PyTorch, TensorFlow, or JAX for training and deploying deep learning models Understanding product requirements then translating them into modeling tasks and engineering tasks Proficient 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 experience Experience 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 user engagement. MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Safety, Computer Vision or related fieldor equivalent work experience

Requirements

Must-haves

3+ years of industry related experience, working in collaborative environments
Experience with utilizing PyTorch, TensorFlow, or JAX for training and deploying deep learning models
Understanding product requirements then translating them into modeling tasks and engineering tasks
Proficient 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 experience
Experience 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 user engagement.
MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Safety, Computer Vision or related fieldor equivalent work experience

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

machine learningmlpythongojava

Platform: apple
Effort: medium

Benefits

Benefits detected in the listing.

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