Machine Learning Engineer, New Grad - Quora

About Quora

Quora's mission is to grow the world's collective intelligence through two platforms:

• Quora: A global knowledge sharing platform with millions of monthly unique visitors, bringing people together to share insights on various topics.
• Poe: A cloud workspace where millions of users run multiple AI agents on shared context and tools, connecting every frontier model with a collaboration layer.

Quora is a privately held, remote-first company with a culture rooted in transparency, idea-sharing, and experimentation.

Note: This role will be working on the Quora product.

About the Team and Role

Our ML team is small and highly collaborative, working on challenging problems that impact hundreds of millions of Quora users. With over 100 ML models in production, engineers take ownership of meaningful projects, work closely with experienced teammates, and quickly see the impact of their work.

We are building the next generation of AI-powered systems to improve content quality and safety across Quora. By leveraging LLMs and agentic workflows, we are transforming how we detect harmful content, automate complex decisions, and respond to evolving challenges at scale. As a Machine Learning Engineer (New Grad), you will work alongside experienced engineers to design, evaluate, and deploy these systems in production.

No previous trust and safety experience is required.

Tech Stack: Python, PyTorch, TensorFlow, Spark, Kubernetes

Responsibilities

• 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

Minimum Requirements

• Availability for meetings and impromptu communication during Quora's coordination hours (Monday–Friday: 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 the 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 continuous improvement
• Able to start full-time in early 2027

Preferred Requirements

• 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

Additional Information

Quora offers medical, dental, and vision coverage, equity refreshers, remote work reimbursement, paid time off, and employee assistance programs. Benefits are country-specific and may vary.