Software Engineer, New Grad – Machine Learning Platform

🔥 6 minutes ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $97.6k - $139k / year

⏰ Full Time

⚪️ Entry-level

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Quora

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2009

📱 Media

📚 Education

🤖 Artificial Intelligence

💰 $85M Series D on 2017-04

Media • Education • Artificial Intelligence

Quora is a global knowledge sharing platform that enables over 400 million monthly unique users to connect and share insights on a wide range of topics. Its mission is to democratize access to human knowledge trapped in people's experiences or buried in books and papers. By providing a platform for learning, sharing, and community engagement, Quora aims to enhance the collective knowledge of the world. The company also offers Poe, a feature that allows users to ask questions and engage in back-and-forth conversations with artificial intelligence.

📋 Description

• Build and maintain core infrastructure powering Quora's machine learning platform • Ensure high availability, scalability, and performance of ML platform infrastructure • Build and improve distributed systems serving production ML models, including LRMs and LLMs • Work on GPU model serving and optimize latency, throughput, and cost • Contribute to PyTorch-first standardization and ML ecosystem modernization • Build tooling that improves ML engineers' development, testing, and deployment velocity • Modernize the feature store to accelerate productionization of new features • Participate in the on-call rotation and help resolve production issues • Ship production work within the first few weeks while learning from senior and staff engineers

🎯 Requirements

• Availability for meetings and impromptu communication during Quora's coordination hours, Monday–Friday, 9am–3pm Pacific Time • 2025 or 2026 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering, or a related technical field • Genuine interest in large-scale distributed systems, infrastructure, and machine learning • Knowledge of Python, Go, or C++, or ability to learn them quickly • Previous software engineering experience through an internship, work experience, open-source contribution, or coding competition preferred • Coursework or hands-on experience with PyTorch or TensorFlow preferred • Exposure to Kubernetes, Docker, or AWS preferred • Experience with profiling, benchmarking, or optimization preferred • Final candidates must undergo identity verification and a comprehensive background check prior to onboarding • Candidates must be legally authorized to work in the selected employment-eligible country and disclose whether visa sponsorship is required

🏖️ Benefits

• Medical, dental, and vision coverage • Equity refreshers • Remote work reimbursement • Paid time off • Employee assistance programs • Flexible equity program in equity-eligible countries, allowing a portion of equity compensation to be taken as cash • Dedicated mentor and strong technical guidance • Remote-first work arrangement