Top Artificial Intelligence Jobs

Lead AI engineering initiatives, develop AI systems, integrate LLMs, mentor teams, and collaborate on business requirements within agile frameworks.

The AI Artist will refine AI-generated video assets, develop prompts, and translate design tastes into scalable systems while collaborating with the AI team.

Develop and implement an internal AI agent platform and create over 50 AI agents to automate various workflows at Imprint.

Internship involves demonstrating the feasibility of AI systems with advanced memory solutions, coding based on research, and evaluating memory systems for LLM training.

Citizen Health seeks AI/Machine Learning Engineers to develop AI solutions for healthcare using advanced ML techniques, focusing on rare diseases and patient care. Responsibilities include designing ML models, optimizing LLMs, and ensuring compliance.

The Director/Sr Program Manager will oversee the program management of AI acceleration chips, ensuring timely software releases and compliance with safety standards. This role involves collaboration with cross-functional teams and customer advocacy.

As a Senior AI Data Engineer, you will design and maintain user data architectures, build scalable warehouses, integrate AI models, and develop intelligent user interactions.

We seek an AI Research Scientist/Engineer to apply AI techniques in healthcare, focusing on biological simulations and data analysis for NIH-funded projects.

The role involves building and optimizing full-stack AI applications using Generative AI, machine learning, and integrating enterprise AI tools while collaborating with cross-functional teams.

Lead design and delivery of AI products, driving technical strategy and architecture while building production-grade systems and mentoring teams. Collaborate cross-functionally to integrate AI features into a product ecosystem.

As a Data/AI Engineer Intern, responsibilities include data analysis using AI tools, model development, and collaborating with stakeholders to address business challenges.

The Senior AI Product Manager will lead AI initiatives in identity security, owning both internal infrastructure and external product delivery while collaborating with engineering and business teams.

The intern will conduct machine learning research, focusing on personalization, NLP, reinforcement learning, and computer vision while collaborating with various teams to improve Netflix's services.

Develop and deploy innovative AI systems to enhance Factory's core capabilities, integrating research findings into practical solutions and addressing scalability challenges.

Lead engineering teams to enhance consumer acquisition through innovative software solutions, ensuring robust systems for marketing, sales, and onboarding. Collaborate cross-functionally to improve performance and build high-performing teams.

Lead the Consumer Acquisition engineering organization, managing engineering teams, and driving sales tools and platforms to enhance customer onboarding and conversion.

The Director of Software Engineering will lead multiple engineering teams, manage sales tools, AI-powered automation, and improve ecommerce and onboarding processes.

The Director of Engineering will lead the Consumer Acquisition engineering organization, managing multiple teams to enhance revenue through various tools and platforms, focusing on sales automation, ecommerce, lead generation, and performance optimization.

Lead the Consumer Acquisition engineering organization, managing multiple teams, improving sales conversion and onboarding through innovative technology solutions and AI integration.

The Director of Artificial Intelligence will define, lead, and implement AI strategies, managing R&D, building teams, and ensuring ethical AI use to drive business outcomes.

Lead the Consumer Acquisition engineering teams, managing software development, AI sales automation, e-commerce solutions, and marketing tools to drive revenue. Collaborate with cross-functional teams and ensure technical excellence across projects.

Lead the engineering organization for consumer acquisition, managing multiple teams and driving the development of applications and systems in support of sales and onboarding processes.

Lead the Consumer Acquisition engineering organization, managing teams to develop systems for sales tools, AI-powered automation, and e-commerce solutions. Oversee high-performing teams and ensure alignment with business goals.

Lead the Consumer Acquisition engineering organization, managing engineering teams and driving the development of sales tools, AI automation, and e-commerce systems. Ensure technical excellence while achieving business goals and simplifying platform architecture.

Develop applications for machine learning and generative AI technologies, automate data analysis, and collaborate on prototyping solutions for semiconductor testing.