Who you are

- 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

- 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

- 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

What the job involves

- 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 current 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

The application process

- 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

📌 Machine Learning Engineer (Canada)
🏢 Quora
📍 Canada