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As a ML Engineer at Apiphany, you’ll develop and implement advanced machine learning models to tackle some of the hardest problems in the physical world. You’ll design systems that can reason about complex engineering data and build AI that understands physics, design constraints, and real-world performance tradeoffs.
This is a role for builders who want to push the frontier of what AI can do in the physical world.
Apiphany is a pioneering foundational AI company for physical product development. We empower global innovators in automotive, aerospace, medtech, and energy to transform mountains of unstructured technical data into real-time, actionable insights. Backed by world-class investors from Markforged, Databricks, GM, and Character, our mission is to revolutionize how engineering decisions are made, turning complexity into clarity for the world’s top manufacturers.
Our models are built for the complexities of engineering and manufacturing. Our models understand physics principles, design specifications, and program constraints. We’re a small, elite team of builders from Stanford, Berkeley, MIT, UW, and CMU, alongside industry leaders from GM, Ford, and Genesis Therapeutics. We’re passionate about transforming hard-tech and building a category-defining company together.
As a ML Engineer at Apiphany, you’ll develop and implement advanced machine learning models to tackle some of the hardest problems in the physical world. You’ll design systems that can reason about complex engineering data and build AI that understands physics, design constraints, and real-world performance tradeoffs.
This is a role for builders who want to push the frontier of what AI can do in the physical world.
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More from this employer
San Francisco, USA
San Francisco, USA
San Francisco, USA
San Francisco, USA
, USA
, IND
Startup mindset: bias toward action, rapid iteration, and ownership
Mission-driven and customer-obsessed
Self-motivated, collaborative, and eager to raise the bar for the whole team
Passion for building in a fast-paced, hyper-growth startup environment.
Providing AI models for manufacturing and engineering data analysis.
Visit company websiteJobs and hiring trendsUSD 110000-170000 yearly / year
Full-time
Mid
Hybrid
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