AI Research Scientist

About Us:

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. 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.

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.

About the Role:

The AI Research Scientist will contribute to webAI’s development of next-generation AI models and systems. In this role, you will design, train, evaluate, and optimize cutting-edge machine learning models including large language models, multimodal architectures, and on-device inference 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.

This is a hands-on research role for someone who loves experimentation, solving complex problems, and building AI that is powerful, efficient, and privacy-preserving.

Responsibilities:

Design, train, and optimize machine learning models including LLMs, multimodal models, transformers, and diffusion architectures

Conduct research on model efficiency, quantization, compression, and on-device deployment

Prototype novel model architectures, training methods, and inference strategies for distributed AIDevelop and evaluate benchmarks, datasets, and experimental frameworks to test model performance

Collaborate with engineering teams to integrate research findings into production systems

Stay current on leading research in deep learning, generative AI, and distributed MLAnalyze experimental results and communicate insights clearly to technical and non-technical stakeholders

Document research findings, contribute to internal papers, and present technical work across the organization

Identify emerging technologies and propose research directions aligned with webAI’s strategic priorities

Qualifications:

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

Proficiency in Python and ML frameworks such as PyTorch, Tensor Flow, or JAXExperience building datasets, designing experiments, and validating ML model performance

Deep understanding of optimization techniques including quantization, distillation, pruning, and hardware-aware training

Strong problem-solving skills and ability to work independently on complex research tasks

Effective communication skills for presenting research findings to diverse audiences

Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field

Preferred Skills Master’s or PhD in Machine Learning, Computer Science, AI, or a related field

Experience with distributed training, edge inference, or on-device MLResearch experience in generative AI, reinforcement learning, or multimodal learning

Familiarity with privacy-preserving ML techniques such as federated learning

Experience contributing to academic publications, patents, or open-source ML projects

Comfort operating in a fast-paced, high-growth startup environment

We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:

Truth
- Emphasizing transparency and honesty in every interaction and decision.

Ownership
- Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients.
Tenacity
- Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.

Humility
- Maintaining a respectful and learning-oriented mindset,…