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Machine Learning Engineer (AI-Powered Hardware Design)

ScrumAID

San Francisco, CA · Posted November 1, 2026

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About the job

A small, quickly growing startup is creating AI tools that speed up how physical products are designed in CAD. It seeks a flexible ML engineer who is comfortable switching between research ideas and production code.

Your focus

Create, train and assess bespoke models and embeddings that power the design software

Own the data pipeline, from collecting and curating data to the training framework

Strengthen the machinery for training and testing, covering experiment logging, metrics and repeatability

Carry models from prototype into live use, then monitor and iterate on real-world results

Work with product and other teams to convert needs into ML features, and follow current research on LLMs and representation learning

About you

Four or more years as an ML engineer in industry, or comparable academic research (research-based Master’s or PhD)

Strong, clean Python with little need for hand-holding

Track record inventing custom models and embeddings, rather than relying on off-the-shelf tools

Hands-on LLM experience and fluency in PyTorch or a comparable deep learning library

Experience taking ML to production quality

Bonus: graph neural networks or transformers, cloud ML platforms, backend frameworks, or CAD and geometry exposure

On-site in the San Francisco Bay Area. H-1B transfers and TN visas can be supported; new H-1B sponsorship is not offered.