Top Artificial Intelligence Jobs

The Solutions Architect will lead customer onboarding, manage technical integrations, work closely with various teams to optimize processes, and deliver high-quality project outcomes.

Quota-carrying Account Executive responsible for full sales cycle across US West Coast mid-market and enterprise accounts. Build and convert pipeline via outbound and inbound, run value-based sales processes (MEDDIC/SPICED), present to C-level, forecast in HubSpot, collaborate with BDRs and marketing, represent Centuro at events, and consistently hit net-new SaaS ARR targets for multi-country/global deals.

The Performance Engineer - Inference will optimize model inference speed and throughput, debug low-level kernel performance, and develop tools to visualize performance data.

Join Kled to help build the future of human data collection and design systems that influence AI data training through a consumer application.

Lead a small engineering team to develop and integrate mission autonomy solutions for defense-related autonomy, simulation, and edge platforms. Drive proposals, customer interactions, program leadership, R&D collaboration, and validation using simulation tools while maintaining technical direction and meeting program milestones.

As a Research Scientist at Phonic, you'll lead original research in voice AI, drive experimental design, and influence model development directly.

Drive original AI research focusing on new models and algorithms for reasoning in complex environments, collaborating with engineers and contributing to the research community.

The Marketing & Events Coordinator supports marketing initiatives, manages event logistics, and coordinates communication materials in a fast-paced environment.

The Strategic Account Executive will manage the full sales cycle for enterprise accounts in energy and heavy industries, driving pipeline generation, custom demos, and closing multi-year deals while collaborating closely with senior stakeholders and the founding team.

Work with engineers to design, implement, and deploy scalable inference solutions for top AI models. Implement and optimize models (Python, C++, CUDA, NCCL), monitor live services, develop features, fix bugs, participate in code reviews, and collaborate in agile teams.