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Director of Applied AI

webAI · Austin, TX

Applied AIremotedirector
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At a glance

Highlights

  • Lead design and deployment of enterprise AI on distributed edge infrastructure.
  • Partner directly with customers to turn mission needs into scalable solutions.
  • Help shape applied research strategy for personalized AI at scale.

What they offer

  • Competitive salary and performance-based incentives
  • Comprehensive health, dental and vision benefits with HSA option
  • 401(k) match for US-based employees
  • Flexible PTO policy and parental leave
  • Continuing education support
  • Company-paid life insurance and disability coverage
  • Free parking for in-office employees

Ideal candidate

Hands-on AI leader who thrives mentoring teams and partnering with customers in fast-moving, high-stakes environments. Driven by ownership and curiosity, passionate about private, edge-deployed personalized AI.

Requirements

  • 8+ years in applied machine learning or AI engineering with 3+ years in leadership
  • Hands-on coder - every leader is hands-on
  • Proven track record designing and deploying an AI product
  • Strong expertise with LLMs, generative AI and ML workflows
  • Hands-on experience building AI systems for customer-facing applications
  • Proficiency in Python and modern ML frameworks like PyTorch, TensorFlow, JAX
  • Experience leading cross-functional teams across multiple high-impact projects
  • Clear communicator of complex ideas to technical and non-technical audiences
  • Bachelor's in Computer Science, Engineering, Mathematics or related field

Lab profile

About webAI

Building distributed, private AI infrastructure for personalized, edge-deployed enterprise and government AI.

What they build

  • Distributed AI infrastructure
  • End-to-end private AI platform

Known for

  • Distributed edge processing
  • Private and sovereign AI
  • Specialized enterprise intelligence
  • Efficient and sustainable models
More about webAI →
Apply on the lab’s site ↗

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