webAI
Director of Applied AI
Austin, TX · Director
Sponsorship not specifiedDetected 9 days ago
PythonDistributed SystemsPlatform EngineeringMachine LearningTensorFlowPyTorchData EngineeringLLMsMLOpsIntellectual PropertyResearchLeadershipCommunication
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odds of building a lasting career here
37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- The Director of Applied AI will play a pivotal leadership role in designing, developing, and deploying advanced AI solutions for enterprise customers. You will lead a cross-functional team of engineers and applied scientists to deliver mission-critical AI capabilities, architect novel approaches leveraging distributed AI infrastructure, and partner closely with customers to understand their needs and translate them into scalable, impactful solutions.
- This role requires deep technical expertise, strong communication and leadership skills, and the ability to drive execution in high-stakes, rapidly evolving environments. You will help shape webAI's applied research strategy, mentor teams, and ensure we deliver world-class AI technologies that align with customer missions and business goals.
- The Director of Applied AI will play a pivotal leadership role in designing, developing, and deploying advanced AI solutions for enterprise customers.
Responsibilities
- Lead the design, development, and deployment of applied AI systems built on webAI's distributed AI platform.
- Collaborate with Infrastructure, Platform Engineering, and Product teams to align applied AI initiatives with overall product strategy.
- Build and mentor a high-performing applied AI team, fostering a culture of innovation, ownership, and hands-on problem solving.
- Drive architectural decisions related to edge inference, distributed processing, privacy-preserving AI, and real-time performance.
Requirements
- Proven track record designing and deploying an AI product.
- Proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, JAX, etc.).
- Experience leading cross-functional teams and managing multiple high-impact projects simultaneously.
- Ability to communicate complex technical ideas clearly to both technical and non-technical audiences.
- Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.
- Experience deploying AI models on-device or in constrained compute environments.
- Familiarity with MLOps, data pipelines, and scalable inference architectures.
- You need to code! Every leader in this company is hands-on.
- 8+ years of experience in applied machine learning, AI engineering, or related fields, with at least 3 years in a leadership role.
- Strong expertise with LLMs, generative AI, machine learning workflows.
- Hands-on experience building or integrating AI systems for customer-facing applications.
- 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.
Nice to have
- Preferred Skills
Compensation
- Competitive salary and performance-based incentives
Benefits
- We strive to provide competitive benefits to all employees.
- The benefits listed in this posting generally apply to U.S.-based employees.
- For employees hired outside the United States, benefits may vary based on local law, country-specific requirements, and the employment platform or entity through which the employee is hired.
- Comprehensive health, dental, and vision benefits package
- Including a high-deductible HSA option with company contribution
- Flexible PTO Policy
- Parental leave for eligible employees
- Continuing education support
- Basic, company-paid life insurance
- Supplemental life insurance
- Company-paid short and long term disability
- We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline.
Company info
- webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI.
- We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation.
- We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises and consumers with AI that understands their unique business.
- We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI.
- Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models.
- Engage directly with commercial customers to translate mission needs into technical requirements and scalable solutions.
- Present complex technical concepts to leaders, customers, and stakeholders in a clear and compelling manner.
This listing is sourced directly from webAI's careers page and normalized into a canonical job model.