Software Engineer, ML Infrastructure - Evaluation Platform

September 12

🏢 In-office - Manhattan

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Logo of Scale AI

Scale AI

The Data Platform for AI: High quality training and validation data for AI applications.

Computer Vision • Data Annotation • Sensor Fusion • Machine Learning • Autonomous Driving

201 - 500

Description

• Develop re-usable platforms for running in-house and open-source LLM-benchmarks • Ensure correctness and performance of post-training and eval jobs on the platform • Improve APIs for managing ML workflows • Contribute to foundational infrastructure for model inference and training • Participate in team’s on call process for service availability • Own projects end-to-end in cross-functional environment

Requirements

• 4+ years of experience developing ML platforms • Passion for working closely with researchers to drive business impact • Experience training and/or benchmarking LLMs • Experience with Python, Docker, Kubernetes, and Infrastructure as code (e.g. terraform)

Benefits

• Comprehensive health, dental and vision coverage • Retirement benefits • Learning and development stipend • Generous PTO • Commuter stipend

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