Top Artificial Intelligence Jobs

The Software Engineer will design, code, analyze, and implement software applications while providing technical support and documentation. Requires experience in call center applications and Windows servers.

The AI Engineer will develop AI systems, lead model orchestration and inference, and collaborate on product strategies. Responsibilities include designing architecture, optimizing performance, and mentoring engineers.

The Backend Software Engineer will develop a system for curating and delivering content from various industries to AI companies, focusing on rights licensing and revenue distribution.

The role involves designing and scaling ML infrastructure for LLMs, including building training pipelines and deploying models in cloud and on-prem environments. Collaboration with engineers and managing GPU/TPU workloads is key.

Lead radio network optimization tasks for mobile operators: KPI trend analysis, worst-cell/root-cause analysis, parameter audits, coverage and capacity tuning across 2G/3G/4G/5G (including VoLTE), drive-test and trace analysis, SIP troubleshooting, and reporting to customers and project management.

Responsible for driving revenue growth by managing customer relationships, generating new business, and collaborating with product teams to align offerings with customer needs. Requires 4+ years in quota-carrying roles, particularly in B2B fintech or financial software.

Responsible for developing algorithms for circuit board design automation and simulation integration, enhancing hardware engineering processes. Requires strong mathematical skills and software engineering fundamentals.

The Account Executive will drive sales processes, engage customers through various communication methods, and achieve revenue targets while providing market feedback.

Lead design and frontend implementation for AI-powered world-creation and simulation tools. Rapidly prototype, own end-to-end features, collaborate with researchers and engineers, refine UX through user feedback, and establish the product design language for a new category of interactive AI software.

Lead customer deployments and on‑prem integrations for an AI platform across Bay Area sites. Develop customer-specific features, port cloud products to locked-down on‑prem environments, manage and debug cloud deployments (AWS, Azure, GCP, OpenShift), and learn hardware design. Role requires travel across California and close customer collaboration.