Machine Learning Engineer - Media Models

February 15

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Logo of Replicate

Replicate

Run machine learning models in the cloud

11 - 50 employees

📋 Description

• Replicate lets you run machine learning models in the cloud. • The Models team at Replicate keeps our public model library up to date with all the latest generative AI models. • As a Machine Learning Engineer on the Models team, you’ll deploy, optimize and customize image, audio, and video models, implement cutting-edge research, and develop tools that empower users to fine-tune open-source foundation models. • We have a huge library of models on Replicate. You’d be making sure they have all the latest features and are fast and reliable. • You’ll write training code so that Replicate users can train their own LoRAs to fine-tune open-source models to fit their needs. • You’d find the latest papers, turn them into useful products, and publish them on Replicate first. You might do some new research, too. • You’d be using cutting edge techniques to empower and enable users to fine tune open source foundation models.

🎯 Requirements

• You’re a machine learning engineer who is an image, audio, and video models expert. Making them fast, customizing and controllable, and inventing new techniques. • You’re a strong software engineer with at least 5 years of full-time experience. You know the good tools and aren’t just using single-letter variable names. • You don’t need a PhD, but you need to understand math for machine learning and be able to parse a research paper. • You’ve invented some new techniques and put them on GitHub. • You’re an expert at PyTorch, down to its internals, using torch.compile(), and so on. • You know how to run a model on multiple GPUs with tensor parallelism. • You’re involved in the generative AI community and are in the right Discords.

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February 14

Establish and maintain AI/ML infrastructure at Canibuild, a SaaS platform automating residential construction.

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