Senior Machine Learning Engineer
webAI · Austin, TX · Washington D.C. Area
Applied AIonsitesenior
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
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