Software Engineer New Grad
TalentHop
About the Role
This is a Fully Remote job.
About Our Client
Quora operates in the knowledge sharing and artificial intelligence space, addressing the challenge of organizing and distributing collective intelligence on a global scale. The organization provides two main platforms: a knowledge sharing site with millions of monthly users, and a cloud workspace for running AI agents collaboratively. This setup supports a wide user base and integrates multiple AI models, highlighting the company's emphasis on leveraging machine learning to enhance information access and collaboration.
About the Opportunity
The Software Engineer New Grad, Machine Learning Platform role focuses on developing and maintaining the infrastructure that supports large-scale machine learning models. This position contributes directly to the reliability, efficiency, and scalability of ML systems that serve hundreds of millions of users, enabling machine learning engineers to work more effectively. The role offers hands-on experience with distributed systems, GPU serving, and ML platform modernization, impacting the long-term success of the organization's core products.
Key Responsibilities
- Build and maintain core infrastructure for the machine learning platform ensuring availability and scalability
- Develop distributed systems for serving diverse machine learning models in production
- Optimize GPU model serving to improve latency, throughput, and cost efficiency
- Contribute to platform standardization and modernization efforts
- Create tools to enhance machine learning engineer productivity
- Modernize feature store for faster feature deployment
- Participate in on-call rotations to manage production issues
Requirements & Tech Stack
- Availability during coordination hours (Monday to Friday, 9am to 3pm Pacific Time)
- Interest in large-scale distributed systems and machine learning infrastructure
- Familiarity or ability to learn Python, Go, or C++
Qualifications
- Expected 2025 or 2026 graduate in Computer Science, Engineering, or related technical field
- Commitment to continuous learning and team improvement
Compensation
- For US-based applicants, the salary is $97,600
Benefits & Perks
- Medical insurance
- Vision insurance
- Dental insurance