Top Artificial Intelligence Jobs

The AI/Machine Learning Engineer II will design and develop models to analyze data for health monitoring devices, focusing on diagnosis and prediction using various algorithms.

Develop and optimize AI pipelines for workflow intelligence, experiment with models, and collaborate to integrate AI systems into workflows.

The Sr Engineer will develop AI/ML models for health monitoring devices, focusing on algorithm development, data analysis, and cross-functional collaboration.

As a Backend Engineer, you will design and build backend systems and APIs for LangChain's observability and evals platform, optimizing performance and reliability while collaborating with cross-functional teams.

As an AI Strategist, you'll lead customer projects, embedding in workflows to identify AI opportunities, ensuring delivery quality, user adoption, and customer trust.

The Engineering Manager will lead a team in Applied AI, focusing on building scalable systems, driving evaluations to improve model performance, and managing engineering talent.

The Enterprise AI Associate will engage with customers, support AI solution deployment, and translate feedback into structured plans while collaborating with engineering teams and refining marketing strategies.

The role involves developing robust robot policies using reinforcement learning algorithms, enhancing sample efficiency, and applying them to real-world hardware for robotics applications.

Lead the design and training of large-scale video/world models for robotics. Develop controllable simulators and evaluate policy success. Contribute to building a flagbearer robotics company with a focus on high success rates in real-world applications.

Lead the end-to-end product lifecycle for AI-native cybersecurity offerings, defining multi-year AI strategy, translating LLM research into automated detection and response, and partnering cross-functionally to deliver agentic automation that reduces alert fatigue and drives measurable security outcomes.

The Forward Deployed Engineer interfaces directly with customers to assess and resolve security issues, delivering tailored AI and data-driven solutions, while documenting processes for broader application across customers.

As a Principal AI Engineer, you'll design scalable AI systems, mentor teams, develop large-scale LLMs, and optimize AI-driven cybersecurity solutions.

As a Staff AI Solutions Architect, you will design, implement, and deploy AI solutions for cybersecurity, ensuring performance and security in production environments while mentoring engineers and collaborating across teams.

Participate in a 14-day notification-sorting pilot using a Google Pixel 9+ as primary phone. Interact naturally with apps, complete daily 10–15 minute tasks, submit feedback, and report issues to improve mobile AI notification systems.

Participate in a 14-day remote pilot using a qualifying Google Pixel device to interact naturally with notification-generating apps, complete daily notification-sorting tasks, and submit brief daily feedback for AI/notification-management improvement.

Lead end-to-end development and live deployment of AI-driven mid-frequency trading strategies: hypothesis generation, signal research, backtesting, production pipeline, execution, P&L attribution, and building a small high-caliber team.

Design and implement reusable AI-enabled workflows, prompts, custom assistants, and automations to improve consulting delivery. Analyze client materials, synthesize executive recommendations, validate AI outputs, maintain prompt and template libraries, and deploy low-code/Power Platform automations while measuring adoption and quality improvements across consulting teams.

This role involves leading enterprise clients in enhancing their Microsoft 365 collaboration using AI technologies, while also ensuring security and compliance. The consultant will architect, implement, and govern solutions such as SharePoint Online and manage AI integration.

The Product Marketing Manager will lead content strategy and product messaging, collaborating cross-functionally to optimize content performance using AI and analytics tools.

The role involves managing product integration with AI, collaborating across functions to drive revenue outcomes, and leading the product lifecycle while ensuring efficient onboarding and product capabilities.

Drive the architecture, design, implementation, and evaluation of AI systems and data platforms while mentoring teams and contributing to technical strategies.

The Engineering Manager drives architecture and design for AI systems, mentors teams, and plans technical roadmaps for the Map AI Platform.

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.

Lead development of production-ready AI filmmaking workflows: evaluate generative models, prototype and harden techniques, build shared playbooks, collaborate with filmmakers, engineering, and model partners to deliver reliable, cost-effective studio capabilities.

The Associate Director, AI Engineer will design and develop multi-agent systems, collaborate with teams, and implement AI workflows for clients.