Founding Engineer, Applied AI
- San Francisco, CA, United States
Base salary: $180,000 to $250,000 annually.
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Job details
- Pay
- Base salary: $180,000 to $250,000 annually.
- Posting language
- English
- Posted
Original job description
ABOUT THE ROLE
Join an early-stage AI company building automation for hardware engineering in complex manufacturing environments. As a founding technical team member, you will shape core product systems and work closely with customers to bring reliable AI workflows into production.
WHAT YOU'LL DO
- Design and build core workflows and infrastructure for AI agents supporting hardware engineering, including context management, indexing, and post-training systems.
- Develop AI agents and machine learning models that interpret and work with complex engineering design data in enterprise toolchains.
- Partner with customers and engineers to deliver reliable, intuitive workflows for production use.
- Prototype ideas, validate them with users, and ship improvements from concept through deployment.
- Help shape early engineering practices, system architecture, and the product roadmap.
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 search and information retrieval.
- 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 background.
- Experience with geometric data or CAD systems is a plus.
- A practical builder mindset and care for customer experience.
COMPENSATION & BENEFITS
Base salary: $180,000 to $250,000 annually. Visa sponsorship is available.
LOCATION
On-site in San Francisco, California.
More about this job
Skills
- Building automation
- Machine learning
- Research
- Python
- PyTorch
- Hugging Face
- Computer science
- Customer experience