Machine Learning Engineer, Trust & Safety

📋 Description

• Design, build, and operate production systems that detect and disrupt abusive behavior across the
• Build and maintain machine learning (ML) infrastructure, including training pipelines, feature
• Ship large language model (LLM) and classical ML approaches for abuse detection and classification
• Own systems end to end, from integrating a model into the platform through deployment, monitoring
• Work with security, product, and infrastructure teams to turn abuse patterns and detection logic

🎯 Requirements

• 5+ years of software engineering experience building and operating production systems at scale
• Wrote production code in Python, plus JavaScript/TypeScript or Go
• Built and maintained ML infrastructure, such as training and serving pipelines, feature stores, or
• Integrated LLMs into production systems, including prompt engineering and evaluation

🎁 Benefits

• Competitive compensation package, including equity.
• Inclusive Healthcare Package.
• Learn and Grow - we provide mentorship and send you to events that help you build your network and
• Flexible Time Off.
• We will provide you the gear you need to do your role, and a WFH budget for you to outfit your