webAI
AI Research Scientist
Austin, TX
Sponsorship not specifiedDetected 203 days ago
PythonPlatform EngineeringMachine LearningDeep LearningTensorFlowPyTorchNLPLLMsA/B TestingIntellectual PropertyResearchLeadershipCommunicationProblem SolvingPublic Speaking
About the role
- The AI Research Scientist will contribute to webAI's development of next-generation AI models and systems.
- You will work closely with research leadership, applied AI teams, and platform engineering to advance scientific discovery while ensuring that innovations translate into real-world impact.
Responsibilities
- Develop and evaluate benchmarks, datasets, and experimental frameworks to test model performance
- Collaborate with engineering teams to integrate research findings into production systems
- Document research findings, contribute to internal papers, and present technical work across the organization
Requirements
- Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX
- Strong problem-solving skills and ability to work independently on complex research tasks
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
- Experience with distributed training, edge inference, or on-device ML
- Experience contributing to academic publications, patents, or open-source ML projects
- Comfort operating in a fast-paced, high-growth startup environment
- 4+ years of experience (can be graduate research) in machine learning research, AI model development, or related fields
- Strong expertise in deep learning architectures including transformers, CNNs, RNNs, and diffusion models
- Hands-on experience training and fine-tuning large-scale models
- Experience building datasets, designing experiments, and validating ML model performance
- Deep understanding of optimization techniques including quantization, distillation, pruning, and hardware-aware training
- Effective communication skills for presenting research findings to diverse audiences
- Master's or PhD in Machine Learning, Computer Science, AI, or a related field
- Research experience in generative AI, reinforcement learning, or multimodal learning
- Familiarity with privacy-preserving ML techniques such as federated learning
Nice to have
- Preferred Skills
Compensation
- Competitive salary
Benefits
- Comprehensive health, dental, and vision benefits package
- $200/month Health & Wellness stipend
- Continuing Education support
- $500/year Function Health subscription (U.S.-based employees only)
- Flexible Time Off (FTO)
- Parental leave for eligible employees
- Supplemental life insurance
- We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline.
- Design, train, and optimize machine learning models including LLMs, multimodal models, transformers, and diffusion architectures
- Stay current on leading research in deep learning, generative AI, and distributed ML
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 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.
This listing is sourced directly from webAI's careers page and normalized into a canonical job model.