Top Artificial Intelligence Jobs

The Software Engineer will design and maintain data infrastructure for LLMs, ensuring secure data processing and system reliability. Responsibilities include collaborating with teams, handling on-call duties, and managing the complete lifecycle of projects.

The Research Engineer will analyze societal impacts of AI models, develop public input methods, and enhance external assurances for AI safety.

As a Solutions Architect, you'll lead customer engagement for GenAI deployments, providing architectural guidance and support to ensure value realization from OpenAI technologies.

As a Research Engineer at OpenAI, you will design and deploy advanced machine learning models, collaborate with teams to solve real-world problems, and maintain deployed models to ensure continued value delivery.

Lead strategy and application of Generative AI within Netflix Games, collaborating with studios and external partners to innovate player experiences.

As an AI Engineer at Fractional AI, you'll design and develop custom AI solutions, collaborate on projects, and contribute to the engineering culture.

The Backend AI Engineer will develop backend software, create data ingestion pipelines, and enhance AI model performance while ensuring a user-friendly experience.

The AI/ML Principal Engineer leads technical projects, supports product strategy, and manages complex engineering issues while mentoring staff and contributing to business strategies.

The AI Agent Engineering Intern will design and develop autonomous AI agents, integrating them with scalable applications while collaborating across teams to enhance capabilities and performance.

Lead product management for AI data center applications, defining roadmaps, translating customer requirements, and ensuring alignment with engineering and sales teams.

The AI User Enablement & Adoption Specialist will facilitate AI tool adoption, deliver training programs, create resources, and support users while collaborating with IT and Data teams to optimize AI utilization.

Lead AI diligence engagements for private equity, evaluating AI strategies and identifying opportunities in target companies. Manage client relationships and collaborate with product and engineering teams to implement AI solutions.

As a Staff Engineer at Titan, you will develop and enhance applications, integrate AI solutions, and optimize backend systems while collaborating with cross-functional teams.

Join Titan as a Senior Software Engineer, creating AI-powered features and collaborating with cross-functional teams to enhance user experiences.

Join the founding team to build a superhuman AI web-agent, scale infrastructure for distributed reinforcement learning, and collaborate with product engineers.

Join the AI technical staff to scale infrastructure for multimodal LLMs, optimizing performance and building a superhuman web-agent while collaborating with product engineers.

This role focuses on driving new sales and revenue through consultative customer discussions, engaging with executives, and leveraging AI solutions in large strategic accounts. The position requires a proven sales expert to identify and close high-value enterprise deals, contributing to the company's growth in the AI market.

The Senior Software Engineer will architect and implement AI features, collaborate with teams for AI-driven solutions, and mentor junior members.

As the AI/ML Developer Evangelist, you'll advocate for Encord, create technical content, and engage within developer communities to enhance product adoption.

As a Senior AI Engineer, you'll design and develop AI solutions, guide customer projects, monitor performance, and collaborate with teams to optimize outcomes.

The AI Full Stack Engineer will develop AI-powered video creation tools, design features, and improve frontend systems in a collaborative team.

The role involves developing AI-powered solutions for e-commerce, optimizing data pipelines, and deploying ML systems at scale while using technologies like React, TypeScript, and AWS.

Lead the evaluation and implementation of AI solutions across the enterprise, partnering with stakeholders to improve productivity and scalability.

Responsible for leading data quality assurance processes, analyzing quality issues, mentoring data quality analysts, and managing quality control tools to ensure high-quality outputs in data annotation.

Lead technical design and implementation of an AI-powered sales platform, integrate with CRMs and eCommerce, and collaborate across teams to enhance customer experience.