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 move quickly from ideas to production and a focus on customer experience.

Compensation & Benefits

Base salary range: $180,000 to $250,000 annually. Visa sponsorship is available.

Location

On-site in San Francisco, California, United States.