Software Engineer New Grad, Machine Learning Platform - 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)

  • New Grad Role
  • Fully Remote (US/CA)
  • Python, Go, C++
  • ML Infrastructure
  • Mentorship Provided

Join the team responsible for Quora's ML platform and ranking infrastructure, which supports over 100 production models. You will work on serving reliability, developer velocity, and cost efficiency for large-scale AI features.

This entry-level role offers mentorship from senior engineers and requires no prior ML infrastructure experience. You will contribute to core infrastructure, optimize GPU performance, and ship code to production within your first few weeks.

What you'll do

  • Build and maintain core infrastructure for high availability and scalability
  • Develop distributed systems for serving LLMs and recommendation models
  • Optimize GPU model serving for latency, throughput, and cost
  • Contribute to PyTorch standardization and ecosystem modernization
  • Create tooling to improve ML engineer development and deployment speed
  • Modernize the feature store for faster production integration
  • Participate in on-call rotation to resolve production issues

What you'll need

  • Graduating in 2025 or 2026 with a degree in CS or related field
  • Available for coordination hours Mon-Fri 9am-3pm Pacific Time
  • Interest in distributed systems, infrastructure, and machine learning
  • Knowledge of Python, Go, or C++, or ability to learn quickly
  • Passion for continuous learning and team improvement

Nice to have

  • Previous internship, work experience, or open-source contributions
  • Coursework or hands-on experience with PyTorch or TensorFlow
  • Exposure to Kubernetes, Docker, or AWS cloud technologies
  • Experience with profiling, benchmarking, or performance optimization

Stack

  • Python
  • Go
  • C++
  • PyTorch
  • Kubernetes
  • EKS
  • NVIDIA Triton
  • Ray
  • AWS

How you'll work

  • Fully remote within the United States or Canada
  • Coordination hours: Monday to Friday, 9am-3pm Pacific Time
  • Participation in team on-call rotation required

What you get

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