Machine Learning Engineer / Researcher — Hestus (YC)

Hestus is an AI-powered CAD company aiming to revolutionize hardware design and manufacturing. The role involves owning the lifecycle of ML systems for the AI-driven CAD product, focusing on deep research and hands-on engineering to create robust production code.

Responsibilities:

• Design, train, and iterate on custom deep learning models that understand CAD workflows and predict high-quality next-step suggestions
• Build and maintain robust Python training and evaluation pipelines — data preprocessing, experimentation, and offline/online metrics
• Architect model serving and backend components so features are fast, reliable, and easy to integrate into CAD environments
• Work closely with the founder and early customers (mechanical and hardware engineers) to understand real-world workflows and translate them into ML formulations
• Own the full lifecycle of ML features — from research and prototyping through productionization, deployment, and monitoring
• Collaborate with the broader engineering team on core product and infrastructure work — backend, APIs, data models, performance
• Establish best practices for experimentation, logging, and model comparison
• Stay current on relevant ML research (sequence models, geometric deep learning, representation learning) and apply pragmatically