# Distributed Training Engineer, Sora

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA
**Role:** ML Engineering
**Salary:** $293k – $490k/yr
**Skills:** Python, Distributed Systems, Machine Learning, Multi-Modal Ml, Training Frameworks, Performance Optimization, PyTorch, Supercomputing, Training Kernels, Video Models
**Posted:** 2024-03-15

> Distributed Training Engineer optimizes training throughput for video foundation models, enabling researcher experiments with efficient architectures. Requires strong Python skills, distributed systems expertise, and performance profiling.

## Job Description

## Responsibilities
- Collaborate with researchers to enable them to develop systems-efficient video models and architectures
- Apply the latest techniques to our internal training framework to achieve impressive hardware efficiency for our training runs
- Profile and optimize our training framework

## Requirements
- Experience working with multi-modal ML pipelines
- Love diving deep into systems implementations and understanding their fundamentals in order to improve their performance and maintainability
- Strong software engineering skills and are proficient in **Python**
- Experience understanding and optimizing training kernels
- Passionate about understanding stable training dynamics

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