AI · ML
ABOUT THE ROLE
Join an early-stage AI/ML team building automation software for complex manufacturing and hardware engineering. You will help shape the core product, technical architecture, and engineering culture while delivering AI systems for real-world engineering workflows.
WHAT YOU'LL DO
- Design and build core workflows and infrastructure for AI agents used in hardware engineering, including context management, indexing, and post-training systems.
- Develop AI agents and machine learning models that interpret, reason over, and manipulate complex engineering design data.
- Work with customers and teammates to deliver reliable, intuitive AI workflows for production use.
- Prototype ideas with users and ship improvements from initial concept through deployment.
- Help shape engineering practices, architecture, and the product roadmap as an early technical hire.
WHAT WE'RE LOOKING FOR
- Two to six years of experience in applied machine learning, backend engineering, or AI infrastructure, or exceptional new graduates with strong fundamentals.
- Strong familiarity with LLM architectures and current agent research.
- Experience building production machine learning or AI systems, including practical search and information retrieval work.
- Strong Python skills and hands-on experience with PyTorch, Hugging Face, and Weights & Biases.
- A bachelor's degree or higher in computer science, machine learning, or an equivalent field.
- Experience with geometric data, CAD systems, or impactful AI research is a plus.
- A builder mindset, with the ability to