Machine Learning Engineer, New Grad - Quora (Remote)
Remote · Full-time · Remote · Posted Oct 15, 2026
At a glance
- Employment
- Full-time
- Workplace
- Remote
- Location
- Remote
About quora
- Quora’s mission is to grow the world's collective intelligence. To do so, we have two platforms:
- - Quora http://quora.com: a global knowledge sharing platform with millions of monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
- - Poe https://poe.com/: a cloud workspace where millions of users run multiple AI agents on shared context and tools. One subscription, every frontier model, and the collaboration layer that makes them work together.
- Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.
- This role will be working on our Quora product.
About the role
- As a Machine Learning Engineer (New Grad) at Quora, you will work alongside experienced engineers to design, evaluate, and deploy production ML systems.
- You will build the next generation of AI-powered systems leveraging LLMs and agentic workflows to improve content quality and safety across Quora.
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 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
Requirements
- 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
Preferred qualifications
- 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
Benefits
- Medical/dental/vision coverage
- Equity refreshers
- Remote work reimbursement
- Paid time off
- Employee assistance programs
- Flexible equity program where a portion of equity compensation may be taken as cash
Workplace
- Remote-first company with positions performable remotely from anywhere in the US or Canada
Skills
- Python
- PyTorch
- TensorFlow
- Spark
- Kubernetes
- LLM
- Transformer Models
- Claude Code
- Codex
- NLP