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Senior Machine Learning Engineer

webAI · Austin, TX · Washington D.C. Area

Applied AIonsitesenior
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At a glance

Highlights

  • Build production-ready AI systems for public sector secure environments.
  • Deploy AI from government cloud to disconnected edge devices.
  • Support public-sector initiatives delivering real-world AI applications.

What they offer

  • Competitive salary and performance-based incentives
  • Comprehensive health, dental, and vision benefits package
  • High-deductible HSA option with company contribution
  • 401k match (US-based only)
  • Flexible PTO policy
  • Parental leave for eligible employees
  • Continuing education support
  • Company-paid life insurance and short and long term disability
  • Free parking for in-office employees

Ideal candidate

A mission-driven engineer who loves taking AI prototypes to reliable production and thrives under constraints. You value transparency, ownership and tenacity serving public-sector missions.

Requirements

  • Active US Security clearance
  • 4+ years of experience in applied AI, ML engineering, or production AI systems
  • Deep proficiency in PyTorch, TensorFlow, or Hugging Face Transformers
  • Proven experience deploying AI models across cloud, edge, and mobile hardware environments
  • Expertise in model compression and optimization (quantization, pruning, distillation)
  • Experience building RAG pipelines and integrating vector databases
  • Familiarity with multi-modal models and synthetic data generation methods
  • Strong algorithmic and problem-solving skills in distributed or constrained environments

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 →
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