Top Artificial Intelligence Jobs

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.

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.

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.

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.

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

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.

The Growth Manager will focus on bringing AI products to market by managing product demos, customer feedback, and outreach efforts. Responsibilities include executing marketing strategies, improving demo effectiveness, and maintaining customer relationships.

The Senior Analyst will conduct research on AI governance, create reports, consult with clients, lead Forrester reports, and present at events to support data and AI leaders.

The AI Solutions Architect designs and implements AI solutions for renewable energy, collaborating with teams to transition prototypes into production and enhance operational processes.

As an AI Solutions Architect, you will design AI solutions to optimize renewable energy, develop scalable AI/ML models, and lead production transitions while collaborating with diverse stakeholders.

The Founding Backend Engineer will architect and build backend systems, design data infrastructure, develop APIs, integrate AI, and shape engineering culture, focusing on rapid product deployment and customer feedback.

The Applied AI Engineer will focus on machine learning applications, defining ML benchmarks, deploying ML systems, and guiding technical culture.

The Staff Engineer will lead engineering teams, design applications, ensure solution quality, mentor team members, and drive innovation in a fast-paced environment.

Lead the end-to-end machine learning lifecycle for AI products, managing data pipelines and model development to optimize performance and accuracy in production.

The Senior Staff AI Engineer will lead the design and optimization of reinforcement learning systems for enterprise applications, focusing on scalable architectures and production deployment. Responsibilities include mentoring, collaboration, and ensuring compliance with AI ethics and safety standards.