Senior Machine Learning Engineer

What you'll do

• Build and deploy 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 and adversarial evasion.
• 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.
• Perform red-teaming, adversarial training, and robustness evaluations of ML 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).