• You have 4+ years of experience as a Machine Learning Engineer or Data Scientist
• You have deployed low-latency machine learning systems at scale, driving the process from ideation through to production implementation
• You are proficient in Python and have a deep understanding of software engineering principles for data-intensive applications
• You have managed the end-to-end data lifecycle for ML products, with expertise in handling complex feedback loops and ensuring offline/online data consistency
• You have experience with a variety of machine learning tools and libraries, including PyTorch, Transformers, XGBoost, and scikit-learn
• You stay ahead of industry trends, continuously exploring and implementing cutting-edge techniques to tackle evolving ML challenges
• You are passionate about solving complex data problems, anticipating adversarial tactics, and collaborating with domain experts to craft innovative ML solutions

Desirable

• Our mission is to build a platform that enables communities to flourish and where all members can safely find belonging
• Machine learning is essential in building and maintaining this safe environment
• Our Safety Machine Learning team deploys state-of-the-art detection systems to mitigate harmful behavior, illegal content, spam, and other adversarial abuse
• We take ownership of the solutions we build from concept to deployment, working closely with product, engineering, and data science teams to drive large-scale impact
• Our ML and safety systems continuously evolve to ensure our products are safe by default
• We’re seeking a technical, mission-driven Senior Machine Learning Engineer to design and implement end-to-end ML solutions that make Discord safer
• Build and deploy ML systems to detect and prevent abuse, spam, and other malicious activities
• Develop reusable ML features by leveraging user behavior modeling, language processing, and social graph analysis
• Design, implement, and evaluate experiments to assess the impact of updated ML models
• Build scalable ML infrastructure, ensuring engineering excellence and long-term system reliability
• Collaborate closely with product management, engineering, and data science teams to identify high-impact opportunities and execute them effectively