webAI · 2 hours ago
AI Research Scientist
webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. The AI Research Scientist will contribute to the development of next-generation AI models and systems, designing, training, and optimizing cutting-edge machine learning models to ensure innovations translate into real-world impact.
Computer Software
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 AI
Develop 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 ML
Analyze 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
Qualification
Required
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, TensorFlow, or JAX
Experience 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
Master's or PhD in Machine Learning, Computer Science, AI, or a related field
Experience with distributed training, edge inference, or on-device ML
Research 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
Benefits
Competitive salary and performance-based incentives.
Comprehensive health, dental, and vision benefits package.
401k Match (US-based only)
$200/mos Health and Wellness Stipend
$400/year Continuing Education Credit
$500/year Function Health subscription (US-based only)
Free parking, for in-office employees
Unlimited Approved PTO
Parental Leave for Eligible Employees
Supplemental Life Insurance
Company
webAI
webAI is designed to streamline the training, deployment, and execution of AI models by offering a unified execution layer for AI that seamlessly integrates cloud-based services and local devices.
H1B Sponsorship
webAI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9)
2024 (2)
Funding
Current Stage
Growth StageRecent News
Google Patent
2024-04-16
Company data provided by crunchbase