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Machine Learning Engineer (New Graduate, Quora)

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Onsite

Machine Learning Engineer (New Graduate, Quora)

Quora

Machine Learning Engineer (New Graduate, Quora)

Skills

PythonPyTorchTensorFlowMachine LearningAIKubernetesNLP / Natural Language Processing

4 days ago

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Important information


Salary:

$107,360 – $152,900 / year

Location:

United States

Work mode:

Onsite

Published on:

22 October 2026

What they need


  • 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 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- No previous trust and safety experience is required. You’ll learn from the engineers who built these systems
  • Able to start full-time in early 2027
  • Availability for meetings and impromptu communication during Quora’s “coordination hours” (Mon-Fri: 9am-3pm Pacific Time)
  • A passion for learning and always improving yourself and the team around you
  • Strong knowledge of Python
  • Coursework, research, or project experience with LLM applications or transformer models
  • Strong understanding of mathematical foundations of Machine Learning algorithms
  • B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field, completed or in progress
  • 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- 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

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