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Machine Learning Engineer, Inference System

LocationSan Francisco, United States
CommitmentFull-time
RoleML Engineering
Remote🏢🌴Hybrid
First listedIn the last 12 months

Job Description

Who we are

At Twelve Labs, we are pioneering the development of cutting-edge multimodal foundation models that have the ability to comprehend videos just like humans do. Our models have redefined the standards in video-language modeling, empowering us with more intuitive and far-reaching capabilities, and fundamentally transforming the way we interact with and analyze various forms of media.

With a remarkable $77 million in Seed and Series A funding, our company is backed by top-tier venture capital firms such as NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, and prominent AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation.

We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI.

About the role

As a Software Engineer, Inference Infrastructure at Twelve Labs, you will play a crucial role in the ML Platform team, where your primary focus will be scaling the infrastructure to host one of the industry's most powerful video foundation models. Your responsibility will be to ensure the scalability, performance, and reliability of our model inference pipeline, which involves handling high volumes of traffic, video processing, and model deployment.

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