Distributed Training Engineer, Sora at OpenAI

San Francisco, California, United States

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$295,000 – $440,000Compensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI & Machine Learning, Consumer SoftwareIndustries

Skills

Key technologies and capabilities for this role

PythonMulti-modal ML pipelinesDistributed SystemsTraining KernelsSoftware Engineering

Questions & Answers

Common questions about this position

What is the salary range for the Distributed Training Engineer role?

The salary range is $295K - $440K.

Is this position remote or does it require office work?

This is a hybrid role based in San Francisco, CA, requiring 3 days in office per week.

What skills are required for this Distributed Training Engineer position?

Required skills include experience with multi-modal ML pipelines, strong software engineering skills and proficiency in Python, experience understanding and optimizing training kernels, and passion for stable training dynamics.

What is the culture like on the Sora team at OpenAI?

The Sora team is a hybrid research and product team focused on expanding video model capabilities while ensuring reliability and safety.

What makes a strong candidate for this role?

Strong candidates will have experience with multi-modal ML pipelines, Python proficiency, optimizing training kernels, and a passion for stable training dynamics, enabling collaboration with researchers on efficient video models.

OpenAI

Develops safe and beneficial AI technologies

About OpenAI

OpenAI develops and deploys artificial intelligence technologies aimed at benefiting humanity. The company creates advanced AI models capable of performing various tasks, such as automating processes and enhancing creativity. OpenAI's products, like Sora, allow users to generate videos from text descriptions, showcasing the versatility of its AI applications. Unlike many competitors, OpenAI operates under a capped profit model, which limits the profits it can make and ensures that excess earnings are redistributed to maximize the social benefits of AI. This commitment to safety and ethical considerations is central to its mission of ensuring that artificial general intelligence (AGI) serves all of humanity.

San Francisco, CaliforniaHeadquarters

2015Year Founded

$18,433.2MTotal Funding

LATE_VCCompany Stage

AI & Machine LearningIndustries

1,001-5,000Employees