Machine Learning Engineer, New Grad - Quora (Remote)

Quora · Remote · Remote - Multiple Locations · United States · Canada ·
Fully remoteFull-timeMiddle3–5 years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Fully remote (US/Canada)
  • New Grad Role
  • LLM & Agent Focus
  • Python & PyTorch
  • Starts Early 2027

Join Quora's small, collaborative ML team to build AI-powered systems that detect harmful content and automate moderation decisions. You will work on the main Quora product, leveraging large language models to improve safety and quality for hundreds of millions of users.

This position is open to new graduates who can start full-time in early 2027. You will collaborate with experienced engineers to take ownership of projects from development through production deployment.

What you'll do

  • Design and deploy LLM-powered agents to detect spam and policy violations
  • Develop agentic workflows to automate content and user moderation tasks
  • Improve ML systems to adapt to evolving abuse patterns and new challenges
  • Evaluate agent performance via offline tests, online experiments, and monitoring
  • Investigate failure cases and iterate on solutions to boost system reliability
  • Identify new opportunities to apply ML and LLMs for content safety
  • Collaborate with senior engineers and own projects from design to production

What you'll need

  • Available for coordination hours Mon-Fri 9am-3pm Pacific Time
  • B.S., M.S., or Ph.D. in Computer Science, Engineering, or related field
  • Strong understanding of mathematical foundations of ML algorithms
  • Experience with LLM applications or transformer models via coursework or projects
  • Strong proficiency in Python programming
  • Able to start full-time employment in early 2027

Nice to have

  • Previous software engineering experience via internship or open source
  • Hands-on experience building and evaluating LLM agents
  • Regular use of AI coding tools like Claude Code or Codex
  • Coursework or projects in natural language processing (NLP)
  • Genuine interest in content safety and quality issues

Stack

  • Python
  • PyTorch
  • TensorFlow
  • Spark
  • Kubernetes

How you'll work

  • Remote-first company culture
  • Eligible locations: US and Canada
  • Coordination hours: 9am-3pm Pacific Time, Mon-Fri

What you get

  • Medical, dental, and vision coverage
  • Equity refreshers and flexible equity program
  • Remote work reimbursement
  • Paid time off
  • Employee assistance programs