Top Artificial Intelligence Jobs

The Senior Infrastructure Software Engineer will architect and scale multi-cloud infrastructure, focusing on compliance, observability, and developer efficiency for enterprise AI deployments.

Lead the design and development of AI-driven automation systems, mentor junior engineers, and enhance operational efficiency through software solutions.

The Principal Machine Learning Engineer will work on vLLM systems, optimize machine learning algorithms, mentor engineers, and enhance AI deployment efficiency.

The Data Science Intern will develop data-driven solutions using machine learning, engaging in R&D, model evaluation, and data processing.

Lead the architecture and design of AI systems, integrate and fine-tune models, manage multi-agent frameworks, and collaborate with teams for deployment and observability.

The role involves designing Data and AI solutions, conducting workshops, demonstrating technology to clients, and offering technical consultancy in a collaborative environment.

The AI Applications Engineer will lead technical support initiatives, develop demos and benchmarks, and provide customer training using Quadric's SDK. This role requires expertise in system architecture and optimization strategies, along with strong coding skills and the ability to troubleshoot complex issues.

As an Applied AI Engineer, you will onboard customers, deploy AI solutions, work on complex projects, and provide technical guidance. You'll contribute to open-source projects and communicate effectively with stakeholders.

As a Founding AI/Data Engineer, you'll design and build AI-driven products, collaborate across teams, and ensure system reliability while enhancing user experiences.

The AI / Machine Learning Engineer will design, build, and deploy ML models for image classification, fraud detection, and data pipelines, while collaborating with product and engineering teams.

Lead AI adoption initiatives to enhance engineering productivity at Yahoo Mail. Drive cultural transformation, implement tool evaluations, and measure adoption metrics effectively.

The Staff AI Engineer will design and launch foundational AI products, mentor team members, and lead engineering efforts in a fast-paced startup environment.

As an AI Tutor - Objective-C, you will review and improve AI-generated Objective-C code, ensuring correctness and adherence to best practices while solving development challenges.

As an AI Tutor, you'll review HCL code for accuracy, solve automation tasks, correct AI outputs, and summarize decision-making.

As an AI Tutor for MudOS LPC, you will review LPC code, solve programming challenges, correct AI output issues, and summarize your decision-making process.

As an AI Tutor - YAML, you will improve AI-generated YAML files, ensuring correctness and clarity while solving configuration tasks.

As a Software Engineer specializing in Terraform, you will review and improve AI-generated scripts, focusing on best practices in cloud infrastructure.

As an AI Tutor - JSON, you will review JSON data structures, solve modeling tasks, and enhance AI-generated outputs by ensuring compliance with JSON standards.

As an AI Tutor specializing in CMake, you will review and improve AI-generated code, ensuring adherence to CMake standards and practices.

As a Software Engineer, you'll enhance AI-generated Node.js code, ensuring performance and scalability, while correcting issues and summarizing your decisions.

Improve AI-generated PowerShell code, ensuring adherence to conventions and safety by reviewing scripts, correcting flaws, and summarizing work processes.

As an AI Tutor, you'll assess AI-generated code quality, solve coding problems, and create summaries of problems and solutions, focusing on your programming expertise.

The Staff Credit AI Scientist will develop AI/ML models for lending products, design data pipelines, and ensure compliance with credit risk regulations while collaborating with cross-functional teams.

Develop cutting-edge AI/ML fraud models, manage model lifecycle, collaborate with cross-functional teams, and ensure model compliance and fairness.

The Staff AI Scientist designs and deploys ML models to detect fraud risk in banking and lending, collaborating cross-functionally and improving data infrastructures.