Top Artificial Intelligence Jobs

Collaborate with machine learning teams to deploy and improve AI voice models, focusing on performance and operational efficiency in a cloud environment.

The role involves researching and implementing advanced NLP and TTS or CV technologies, focusing on AI speech model development.

The role involves researching and implementing advanced NLP, TTS, and CV, focusing on AI speech model development and team leadership.

Work with ML researchers and engineers to enhance AI Voices, manage ML inference workloads, and improve deployed model performance and reliability.

Research and implement state-of-the-art NLP and TTS, focusing on building advanced AI speech models. Strong ML and programming skills are required.

The AI Engineer & Researcher will work with ML researchers and product managers to deploy AI Voices, improve model performance, and build stability tools.

The role involves deploying and managing ML inference workloads, improving performance of AI voices, and collaborating with researchers and engineers.

The AI Engineer & Researcher role focuses on deploying and operating ML inference workloads, improving model performance, and building tools for visibility into bottlenecks.

As an AI Engineer & Researcher, you'll improve AI voice services by deploying ML inference workloads and enhancing model performance and efficiency.

As a Voice AI Systems Engineer, you'll architect and develop core voice systems for user onboarding, ensuring low-latency, personalized AI interactions, and evaluate their success.

The Corporate Finance AI Expert will provide insights on AI strategy for finance, advise on AI implementations, and engage with finance leaders for optimizing AI use in financial processes.

The IT Program Manager will oversee global technology projects, ensure agile delivery, manage cross-functional teams, and communicate progress with stakeholders.

The Senior AI Engineer will lead the development of AI solutions, design complex AI agents, collaborate with cross-functional teams, and drive technical documentation and troubleshooting efforts on Google Cloud Platform.

Lead and scale digital, automation, and AI capabilities across engineering and consulting. Establish strategy, streamline operations, and ensure measurable results while modernizing delivery and enhancing client differentiation.

This role involves developing and integrating AI/ML models within GCP using Python, optimizing LLM performance, and applying MLOps practices. Strong collaboration with architects is required for implementation and analysis of workflows.

Develop and optimize ML compilers for high-performance deep learning applications, collaborating with hardware engineers to enhance performance and efficiency while minimizing energy consumption.

As an AI Engineer, you'll implement AI workflows, collaborate with chemists, improve user systems, and contribute to backend architecture.

The AI Agentic Operations Consultant will collaborate with clients to optimize AI solutions, ensuring measurable business impact through continuous performance monitoring and enhancements.

The Senior Software Engineer will develop AI-driven applications, focusing on machine learning and integration of LLMs to enhance aerospace systems. Responsibilities include coding, testing, and deployment, along with collaborating on AI integration and optimization.

As a Solutions Architect, you'll guide enterprises in implementing Claude AI, collaborating with sales and engineering teams to provide effective technical solutions and ensure customer success.

Vellum is seeking an AI Product Engineer to develop coding agents and AI systems, facilitating faster workflows for various teams and redefining work methods. You will work closely with a high-performance team in building innovative tools.

The AI Engineer will design, build, and deploy generative AI solutions, collaborating with teams, optimizing performance, and conducting research on emerging AI technologies.

Lead AI Engineer will develop AI systems for a multiplayer game, overseeing technical strategy, team mentorship, and collaboration across departments, ensuring high-quality, innovative gameplay.

The Software Engineer will design, optimize, and integrate AI systems into production, focusing on workflow automation and LLM integration.

Machine Learning Systems Engineers will develop end-to-end 3D machine learning systems, optimize training pipelines, and improve model performance within a collaborative team.