Software Engineer New Grad

About the Role

• Develop and maintain the infrastructure that supports large-scale machine learning models.
• Contribute to the reliability, efficiency, and scalability of ML systems serving hundreds of millions of users.
• Enable machine learning engineers to work more effectively.
• Gain hands-on experience with distributed systems, GPU serving, and ML platform modernization.

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++.
• Commitment to continuous learning and team improvement.

Qualifications

• Expected 2025 or 2026 graduate in Computer Science, Engineering, or related technical field.

Salary (US-based applicants): $97,600

Benefits: Medical insurance, Vision insurance, Dental insurance