Quick overview
Job description
About the Role
Join an early-stage AI team building automation systems for complex manufacturing and hardware engineering. You will help shape the product and technical foundations, working across AI, engineering workflows, and customer needs.
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 agents and machine learning models that interpret and work with complex engineering design data in enterprise toolchains.
Work directly with customers and teammates to deliver reliable, intuitive AI workflows for production use.
Prototype ideas, validate them with users, and ship improvements from concept through deployment.
Help shape early engineering practices, architecture, and product direction.
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 Python skills and hands-on experience with PyTorch, Hugging Face, and Weights & Biases.
Experience building production machine learning or AI systems, including practical experience with search and information retrieval.
Strong familiarity with LLM architectures and agent research trends.
A bachelor's degree or higher in computer science, machine learning, or an equivalent field.
Experience with geometric data or CAD systems is a plus, along with a practical, customer-focused approach to building and shipping.
Compensation & Benefits
Base salary is $180,000 to $250,000 annually. Visa sponsorship is available.
Location
On-site in San Francisco, California, United States.
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