Machine Learning Engineer, Quora

• No previous trust and safety experience is required. You'll learn from the engineers who built these systems
• Availability for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time)
• B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field, completed or in progress
• Strong understanding of mathematical foundations of Machine Learning algorithms
• Coursework, research, or project experience with LLM applications or transformer models
• Strong knowledge of Python
• A passion for learning and always improving yourself and the team around you
• Able to start full-time in early 2027
• We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture

Desirable

• Our ML team is small and highly collaborative, working on challenging problems that impact hundreds of millions of Quora users
• We encourage engineers to think big, experiment with new ideas, and continuously learn and improve
• With over 100 ML models in production, engineers have opportunities to take ownership of meaningful projects, work closely with experienced teammates, and quickly see the impact of their work
• We're building the next generation of AI-powered systems to improve content quality and safety across Quora
• By leveraging LLMs and agentic workflows, we're transforming how we detect harmful content, automate complex decisions, and respond to evolving challenges at scale
• As a Machine Learning Engineer (New Grad), you'll work alongside experienced engineers to design, evaluate, and deploy these systems in production
• Stack: Python, PyTorch, TensorFlow, Spark, Kubernetes
• Design, build, and deploy LLM-powered agents to detect and address spam, harassment, and other policy-violating content at Quora's scale
• Develop agentic workflows to automate complex tasks, improving the efficiency and effectiveness of our content and user moderation systems
• Design and improve ML systems that adapt to evolving abuse patterns and new challenges
• Evaluate agent performance through offline evaluations, online experiments, and production monitoring, balancing accuracy, reliability, latency, and cost
• Investigate failure cases, experiment with new approaches, and iterate on solutions to improve system performance
• Identify new opportunities to apply ML and LLMs to content quality and safety across Quora
• Collaborate with experienced engineers and take ownership of projects from early development through production

• AI technology may assist in sorting applications and recording interview notes, but all decisions are made by a member of our team
• To ensure a secure hiring process, all final candidates will undergo identity verification and a comprehensive background check prior to onboarding