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Staff R&D AI Engineer

webAI · Austin, TX

Applied AIremotestaff
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At a glance

Highlights

  • Lead development of Vision-Language-Action models for intelligent systems.
  • Advance multimodal AI that perceives, reasons, and acts in complex environments.
  • Push real-time AI inference to edge devices while preserving data privacy.

What they offer

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

Ideal candidate

Seasoned AI researcher who thrives on multimodal challenges and translating breakthroughs into real-world systems. You mentor others, stay ahead of research, and care about private, edge-deployed AI.

Requirements

  • 7+ years of experience in AI/ML engineering with 4+ years focusing on deep learning and neural network development
  • Strong understanding of reinforcement learning algorithms and their applications (PPO, SAC, TD3, etc.)
  • Strong expertise in both computer vision and natural language processing with hands-on model development experience
  • Proficiency in PyTorch and/or TensorFlow with experience training and deploying large-scale models
  • Experience with transformer architectures, attention mechanisms, and large language model fine-tuning
  • Hands-on experience with computer vision tasks including object detection, semantic segmentation, and visual tracking
  • Strong programming skills in Python with experience in distributed training and model optimization
  • Understanding of sequential decision-making and control systems fundamentals
  • Experience with MLOps practices including model versioning, monitoring, and deployment pipelines
  • Proven ability to work independently on complex research problems and deliver practical solutions
  • Strong communication skills and experience collaborating with cross-functional engineering teams

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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