Top Artificial Intelligence Jobs

The Lead Engineer will oversee AI agent development, ensuring quality and compliance, and collaborate with business teams on AI projects.

The role involves leading a team, managing projects, and driving business growth through innovative AI application in research methodologies within the healthcare sector.

The Vice President, Innovation & AI will lead the team, develop strategies, manage client relationships, and drive business growth by implementing AI tools in market research.

The tech reporter will cover AI developments, aiming for exclusive news and insights about companies and investments in the sector, while maintaining a strong network of sources.

The role involves leading the design and delivery of an AI Analytics Platform, focusing on building RAG systems, integrating enterprise systems, and mentoring engineers.

The AI Platform Engineer will design, manage, and optimize AI platforms, specifically AWS Bedrock and Azure AI, while leading automation and integration efforts across teams.

The AI Principal Engineer will drive the AI product vision, collaborate closely with the CEO, design key features, and lead a team of AI engineers in a fast-paced startup environment.

As an AI Operations Intern, you'll assist in implementing AI-powered marketing workflows, collaborate with cross-functional teams, and contribute to analyzing campaign data for optimization.

The AI Software Engineer will train large-language models, compare code snippets, and provide feedback to improve AI-generated code. Requires strong C++ skills and attention to detail.

Help train large-language models to write production-grade code by ranking, repairing, and providing feedback on AI-generated code snippets, with a focus on logical correctness and performance.

Help train large-language models to write production-grade code by comparing, ranking, repairing, and refactoring AI-generated code, while providing feedback for reinforcement learning.

As an AI Software Engineer, you'll help train large-language models in Rust by comparing code snippets, repairing AI-generated code, and providing feedback to enhance model learning.

This role involves training large language models to improve code through evaluation and feedback, focusing on correctness, efficiency, and communication.

Join our team to help train large-language models by evaluating and improving AI-generated code, leveraging your coding and communication skills.

The role involves training large-language models by evaluating and refining code snippets, providing feedback, and maintaining an RLHF pipeline. Candidates need strong Python skills and code review expertise.

Develop and maintain computational infrastructure for AI biosensor optimization, collaborate on data workflows, and implement deep learning models for protein engineering.

Manage customer delivery projects, create federated AI pipelines, support users with project management, technical issues, and communicate updates effectively.

The AI Success Engineer will oversee post-sales relationships with customers to drive account health, adoption, and value realization through technical enablement and configuration efforts, while facilitating communication between customers and OpenAI's internal teams.

The Staff Full-Stack Engineer will design and maintain backend services, lead experimental initiatives, and integrate AI/ML systems while collaborating across teams.

Lead and deliver enterprise AI initiatives, collaborating with technical teams and clients to define use cases, manage projects, and achieve business outcomes.

The Product Marketing Manager will develop marketing strategies for spatial analytics software, collaborate with teams, manage product launches, and drive awareness through strategic marketing initiatives.

As an Applied AI Engineer, you'll develop and deploy AI solutions, collaborate with customers, and optimize production systems using Python and SQL. Your role involves driving customer impact through innovative AI technologies.

Lead IAM and AI security initiatives, oversee technical security standards, collaborate with stakeholders, and assess enterprise security controls.

As a Full Stack Engineer, you'll develop production-ready AI and ML features, build APIs, design scalable systems, and implement frontend solutions using Angular.

As a Senior AI/ML Engineer, you will design and deploy LLM systems, collaborate with cross-functional teams, and manage model deployment in production environments.