Top Artificial Intelligence Jobs

The Senior AI Scientist will develop AI algorithms, improve care quality in radiology using deep learning, mentor junior researchers, and collaborate with multidisciplinary teams.

The AI Scientist will develop AI algorithms to enhance radiology, improve patient diagnostic accuracy, and collaborate within a multidisciplinary team.

The Agentic AI Lead/Architect will define AI architecture on Azure, lead design of AI automation use cases, and mentor engineers.

The AI Account Executive will manage the full sales cycle, drive new business for AI CTRL, and build a pipeline within mid-market clients.

As a Forward Deployed AI Engineer, you'll bridge AI capabilities with Study Delivery, implementing automation and improving operational workflows through AI tools, scripts, and product features.

Lead cross-functional teams to deliver business strategy and AI advisory services, driving strategic client relationships and AI adoption.

Lead research in AI and machine learning, focusing on Reinforcement Learning and autonomous agents. Mentor juniors and develop AI solutions for business applications.

As an Applied AI Engineer, you'll develop user-facing AI features, collaborate with PMs and designers, and push AI innovation to production impacting millions of users.

As an Applied AI Product Manager, you'll define AI experiences, collaborate with engineers on prototypes, and push innovation across Automattic products.

Develop computer vision and machine learning solutions, research algorithms, work with product teams to collect datasets, and balance research with production code.

The Technical Product Owner drives product vision and execution by translating business needs into technical requirements and collaborating with teams to deliver cloud-ready solutions, championing Agile practices.

As a .NET Developer (AI), you will design enterprise applications with AI capabilities, optimize agent behavior, and collaborate across teams to drive innovation in solutions.

Lead the development and management of AI infrastructure, ensuring optimal performance of systems and providing mentorship to engineers while deploying advanced AI models.

As a Senior Applied AI Engineer, you will develop and deploy machine learning models, improve system performance, and drive AI initiatives at Databricks.

Build infrastructure for AI/ML environments, collaborate with teams for improvements, and interact with customers to enhance product features.

The role involves managing full-cycle enterprise sales, including developing growth strategies, relationship building, and consultative selling in the AI and identity verification sectors.

The Senior Software Engineer will design and build infrastructure for ML model training and deployment, focusing on AWS technologies, reliability, and collaboration with ML teams.

As an AI Engineer, you will develop and deploy AI-driven applications using Microsoft technologies, support intelligent solutions, and collaborate on data optimization workflows while ensuring security and compliance best practices.

As a Lead AI/ML Engineer, you'll develop and maintain ML/AI optimization solutions, mentor engineers, and collaborate on innovations. You'll manage projects from prototyping to production, ensuring high-quality technical execution in a cross-functional environment.

As a Principal AI Engineer at DataCamp, you will build and evolve an AI tutoring system, collaborate cross-functionally, run experiments, and contribute to a culture of continuous learning.

Drive technical sales and customer success for AI companies, owning implementation and providing effective solutions for usage-based billing.

As a Quantitative Research Intern, you will research and develop autonomous trading strategies using AI and machine learning on large datasets, collaborating with experts in the field.

The AI Product Designer will collaborate with engineers and researchers to create user-centered AI experiences and media generation tools, focusing on intuitive design and cross-functional product strategy.

As an AI Product Engineer, you'll lead the development and integration of AI products using LLMs and other technologies while collaborating with cross-functional teams.

As a Software Engineer for Google's AI Studio, you will design and develop iOS mobile applications, focusing on AI-powered software and rapid prototyping. Collaboration with product managers and UX for innovative solutions is key in this fast-paced environment.