Machine Learning Engineer (New Graduate, Quora)

Quora; United States; On-site; USD 110,000 - 150,000; Full time

Job summary

Quora is hiring a Machine Learning Engineer (New Grad) to design, evaluate, and deploy LLM-powered systems that detect and manage content quality and safety at scale. You’ll work with an experienced team, building agentic workflows and production-ready models using Python, PyTorch, and TensorFlow.

You'll iterate on models, balance accuracy with latency and cost, and contribute to evolving abuse detection strategies while learning from senior engineers. Start date in early 2027 is expected.

Qualifications

• Must be a new graduate or soon-to-graduate in a CS/Engineering or related field.
• Experience with LLM applications or transformer models via coursework, research, or projects.
• Strong mathematical foundations of ML algorithms and Python programming.

Responsibilities

• Design, evaluate, and deploy LLM-powered agents at Quora scale.
• Develop agentic workflows to automate complex moderation tasks.
• Evaluate agent performance through offline and online experiments.
• Collaborate with experienced engineers from early development to production.

Skills

Python

LLM concepts

Transformer models

NLP

Experimentation

Education

B.S. in CS/Engineering

M.S./Ph.D. in CS/Engineering (in progress or completed)

Tools

PyTorch

TensorFlow

Spark

Kubernetes

Job description

• 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 systemsAble to start full-time in early 2027Availability 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 youStrong knowledge of PythonCoursework, research, or project experience with LLM applications or transformer modelsStrong understanding of mathematical foundations of Machine Learning algorithmsB.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field, completed or in progressPrevious software engineering experience via an internship, work experience, open-source contribution or coding competitionHands-on experience building and evaluating LLM agents, in projects, research, internships, or productionRegular use of AI coding tools such as Claude Code or CodexCoursework or projects in natural language processing (NLP)Genuine interest in content safety and qualityPassion for Quora’s mission and goals