Machine Learning Engineer, New Grad - Quora (Remote)

Overview

Machine Learning Engineer (New Grad) on Quora's ML team, building and deploying LLM-powered agents and ML systems to improve content quality and safety across Quora.

What you'll do

• 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 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

What you'll need

• 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

Nice to have

• Previous software engineering experience via an internship, work experience, open-source contribution or coding competition
• Hands-on experience building and evaluating LLM agents, in projects, research, internships, or production
• Regular use of AI coding tools such as Claude Code or Codex
• Coursework or projects in natural language processing (NLP)
• Genuine interest in content safety and quality
• Passion for Quora's mission and goals

Details

• Remote, performed from anywhere in the US or Canada; see careers.quora.com/eligible-countries for country eligibility
• Full-time start in early 2027
• Applications accepted on an ongoing basis; this role is a backfill for an existing vacancy
• Final candidates undergo identity verification and a background check prior to onboarding