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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

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