Machine Learning Engineer, New Grad
Quora
About the Role
This role is for a Machine Learning Engineer (New Grad) at Quora, working on the Quora product. The position can be performed remotely from anywhere in the US or Canada.
About the Team and Role
The ML team is small and highly collaborative, focusing on challenging problems that impact hundreds of millions of users. The team is building next-generation AI-powered systems for content quality and safety, leveraging LLMs and agentic workflows.
Key Responsibilities
- Design, build, and deploy LLM-powered agents to detect and address spam, harassment, and other policy-violating content at 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.
Requirements & Tech Stack
- Availability for meetings and impromptu communication during Quora's “coordination hours” (Mon-Fri: 9am-3pm Pacific Time).
- Able to start full-time in early 2027.
Tech Stack
- Python
- PyTorch
- TensorFlow
- Spark
- Kubernetes
Qualifications
- 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 continuous improvement.
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.