Why Polymath?

Polymath is tackling AI's next great frontier, spatial reasoning, to digitize the industrial world. For much of the twentieth century, engineering designs were created by hand. Many of those older drawings were never converted into digital form. Polymath is addressing that gap. Our proprietary AI models automatically convert 2D engineering drawings into precise, editable 3D CAD models, bringing a new dimension of speed and intelligence to design processes for manufacturers. Having built our MVP, we are now launching Fortune 100 pilots and scaling our vision.

As a Founding Research Engineer, you'll be at the forefront of this mission. You will bridge the gap between groundbreaking research and real-world applications, designing the core systems that solve complex, multi-step reasoning problems and fundamentally shape the future of engineering. As the first hire, you’ll have massive ownership, career-defining growth opportunities, and the chance to shape the product and culture of a VC-backed AI startup founded by cofounders, Katherine (Stanford MS+MBA) and Brandon (CMU PhD).

What you’ll do

• Innovate and Deploy: Design, build, and deploy advanced machine learning models to solve complex, real-world problems in spatial and logical reasoning.
• Lead Applied ML Research: Lead research on core challenges, including model orchestration, multi-step 3D reasoning, and stateful, interactive AI systems.
• Build Evaluation Systems: Build the automated evaluation systems to ensure model correctness, logical consistency, and adherence to spatial requirements.
• Engineer AI Loops: Partner with the CTO to design and implement the critical feedback loops that turn model failures into high-value data for model training.
• Build Production Systems: Own the full application stack. Implement scalable data pipelines, build production-grade APIs, and deploy your systems to AWS.

What you’ll bring

• Advanced Degree or Experience: A Master's/PhD degree in CS, ML, or a related field, OR demonstrated equivalent experience in building advanced AI systems.
• Deep Learning Expertise: Demonstrated experience with deep learning, transformers, and large-scale models (LLMs, VLMs).
• ML Framework Proficiency: Proficiency in modern ML frameworks like PyTorch or TensorFlow.
• Strong Engineering Foundation: A strong foundation in data structures, algorithms, and software engineering principles, with 3-5+ years of experience building and shipping backend or cloud systems.
• Technical Fluency: Fluency in Python and familiarity with cloud platforms (AWS). Familiarity with C# or .NET is a plus.
• Startup/Founder Mindset: A proactive approach to challenges and the ability to move fast in an environment where things are loosely defined. You enjoy owning problems end-to-end and are willing to pick up new skills to get the job done.