WebAI
Director of Applied AI
Austin, TX · Hybrid · Director · Full-time · Posted Oct 13, 2026
- Experience
- 8+ years in applied machine learning, AI engineering, or related fields, with at least 3 years in a leadership role.
- Education
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field.
About the job
Leads a hands-on team designing and deploying customer-focused AI systems on webAI’s distributed platform, translating customer needs into scalable solutions and guiding applied AI strategy.
What you'll do
- Lead development and deployment of applied AI systems and oversee execution across multiple projects.
- Guide teams in training, fine-tuning, optimizing, and evaluating domain-specific language and multimodal models.
- Lead and mentor the applied AI team, collaborate across functions, and engage customers to translate needs into technical solutions.
What they ask for
- 8+ years in applied machine learning, AI engineering, or related fields, including at least 3 years in a leadership role.
- Proven track record designing and deploying an AI product; hands-on experience building or integrating AI systems for customer-facing applications.
- Strong expertise with LLMs, generative AI, and machine learning workflows; proficiency in Python and modern ML frameworks.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field.
Nice to have
- Master’s or PhD in a technical discipline such as Computer Science, Machine Learning, AI or Applied Mathematics.
- Background in distributed systems, edge computing, or privacy-preserving ML; experience deploying models on-device or in constrained compute environments.
Tools
Python, PyTorch, TensorFlow, JAX
AI focus
Applied AI for enterprise customers, including training and deploying LLMs and multimodal models, distributed and edge inference, privacy-preserving AI, and AI evaluation.
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