Jobs at webAI

The AI Research Scientist will develop novel algorithms, lead experimental design, and mentor engineers while focusing on privacy-preserving AI solutions.

The AI Software Engineer will deploy models, build data pipelines, optimize performance for AI models, and develop testing suites in collaboration with AI scientists.

The role involves designing and implementing secure and efficient peer-to-peer systems for AI infrastructure, ensuring high performance, reliability, and privacy in decentralized environments.

The Senior Machine Learning Engineer will design and deploy AI systems, optimize production models, and ensure efficient performance in resource-constrained environments.

The Director of Applied AI leads the development and deployment of AI solutions for clients, manages cross-functional teams, and drives innovation in distributed AI infrastructure.

The AI Research Director will lead research initiatives in AI and ML, oversee research teams, design novel model architectures, and collaborate with engineering to implement scalable capabilities.

The Senior Forward Deployed AI Engineer will create, deploy, and maintain AI systems, optimize workflows, and communicate with customers to address needs within production environments.

The Data Platform Engineer will design and build scalable data connectors, transform raw data into AI-ready formats, and collaborate with teams to optimize data pipelines and ingestion patterns.

Design and build connections between real-world data systems and AI platform, creating scalable data connectors and transforming data for AI inference.

Architect and build secure, scalable cloud and edge infrastructure for AI workloads. Implement IaC, Kubernetes with GPU support, CI/CD with security controls, observability, MLOps pipelines, disaster recovery, incident response, and mentor engineers while driving infrastructure standards and automation.

Lead the design and implementation of automated testing infrastructure, improve product quality, mentor junior engineers, and integrate tests into CI/CD pipelines.

The Network Engineer will design, implement, and maintain secure distributed AI infrastructure, ensuring high performance and reliability across various networks and devices while collaborating with cross-functional teams.

The Staff Machine Learning Engineer will lead the development of advanced AI models, collaborate with teams, conduct research, and mentor junior engineers.

Lead the development of AI systems integrating computer vision and language understanding, focusing on reinforcement learning and multimodal AI architectures.

As an R&D Software Engineer, you'll rapidly prototype AI technologies, translating theoretical research into practical implementations while collaborating with cross-functional teams.

The AI Research Scientist will design, train, and optimize state-of-the-art machine learning models, conduct research on model efficiency, and collaborate with engineering teams to ensure real-world impact.