Top AI Engineer Jobs

As a Lead Engineer in Cyber AI, you will lead engineering initiatives in cybersecurity, develop AI solutions, and collaborate with teams to enhance capabilities.

As a Lead Engineer on the Cybersecurity AI team, you'll develop end-to-end solutions, work with cybersecurity teams, and influence the engineering architecture for AI-powered capabilities.

The AI Platform Engineer is responsible for building and securing AI infrastructure, managing Kubernetes environments, implementing CI/CD pipelines, ensuring compliance, and collaborating with teams to enhance platform performance and reliability.

You'll build high-performance frontend experiences and work across the full stack on a core part of our Physical AI product, taking end-to-end ownership of projects.

As a Software Engineer in Applied AI, you'll build and scale machine learning and computer vision solutions, collaborating with product and engineering teams to implement research into production. You'll experiment with ML technologies and solve engineering problems while contributing to hiring efforts.

Design, build, and maintain scalable full stack applications using Node.js, React, and TypeScript. Collaborate closely with product and AI/ML teams, ensuring performance optimization and a focus on high-quality code deployment.

Lead the design, development, and implementation of AI security products. Collaborate across teams, drive engineering processes, and maintain existing services. Influence product direction and act as a technical expert.

The Principal Software Engineer will design, implement, and lead AI security product development, focusing on scalable software solutions across cloud platforms and driving engineering best practices.

The candidate will develop AI solutions for Tencent's overseas game studios, focusing on AI-powered services and systems in a fast-paced environment.

The Staff Software Engineer will lead the development of data-driven solutions, collaborate with cross-functional teams, mentor junior engineers, and drive improvements in APIs and architecture for Airbnb's Marketplace Data and AI team.

The role involves driving the architecture and evolution of the Search product at Databricks, collaborating across teams, mentoring engineers, and ensuring high-performance systems for AI applications.

The role involves designing AI-driven workflows and automations, managing systems for enterprise integration, and collaborating across teams to implement scalable solutions.

The AI Engineer will develop and optimize AI models and high-performance software systems for drug discovery, collaborating with researchers and maintaining infrastructure.

As an AI Research Engineer, you'll conduct research in AI and automated reasoning, creating innovative solutions, testing systems, and contributing to scientific publications while collaborating with engineering teams.

Lead the design of generative AI solutions and multi-cloud architectures, translating business use-cases into scalable systems for enterprise deployments.

Provide technical support to public sector and enterprise customers, troubleshoot complex issues, translate security/compliance needs (FedRAMP), automate tooling via scripting and AI, collaborate with engineering and product teams to resolve issues, improve processes, and provide on-call coverage.

Lead the architectural development of AI agent frameworks for Windows, optimize performance on NVIDIA GPUs, and mentor engineers in deployment best practices.

As an ML Engineer Intern, you will build and deploy ML models, design scalable infrastructure, and collaborate with data science teams in a fast-paced environment.

As an ML Engineer, you'll build and deploy scalable ML systems, optimize models, and collaborate with teams to improve content across platforms.

The Senior Engineer, AI and Automation role involves designing AI-powered systems, maintaining infrastructure, building integrations, and establishing MLOps while collaborating with various teams on enterprise applications.

As a Founding Full-Stack Engineer, you'll build AI-native systems, integrating LLMs, prototyping quickly, and collaborating to influence engineering standards and culture.

The AI Automation Engineer will architect and build AI-driven GTM systems, write production code in Python, manage vector databases, streamline marketing and sales workflows, and ensure system reliability while collaborating across teams.

As a Founding Engineer, you'll enhance AI/ML performance, build infrastructure for model training, and improve user experience at a fast-paced startup.

As a Full Stack Engineer, you will build AI-powered applications, manage client interactions, and apply best practices in MLOps and LLMOps.

Design and maintain data pipelines and lake platforms, optimize data processing with cloud technologies and collaborate with team members for AI initiatives.