Staff R&D AI Engineer
webAI · Austin, TX
Applied AIremotestaff
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
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