Top Artificial Intelligence Jobs

As a Senior Product Manager for AI, you will lead AI-based product strategies, engage with customers for insights, prototype solutions, and collaborate with teams to deliver intelligent agent-driven products.

The Lead AI & Privacy Counsel will advise on AI product development and privacy strategy, ensuring compliance with regulations. This role includes shaping AI responsibly, building data governance frameworks, and translating complex regulations into actionable guidelines.

As a Senior Software Engineer, you'll build and operate the ML platform, optimizing data operations, managing the feature store, and supporting ML initiatives while driving architectural roadmap decisions.

The Staff Engineer will architect and build AI and ML infrastructures, mentor engineers, and lead high-impact initiatives to enhance ML capabilities across Attentive's platform.

Design engaging user experiences for Figma's platform, applying interaction design principles and collaborating with cross-functional teams to refine product direction and quality.

As a Full Stack Software Engineer, you will develop AI-driven products, manage code pipelines, support team operations, and ensure system health, leveraging technologies like React and Node.js.

The Product Designer, AI Models role involves collaborating with AI researchers to improve model performance, developing design principles, and overseeing the quality of AI-generated outputs. You'll bridge the gap between AI research and design, enhancing tools for designers.

The Early Career Software Engineer will design, develop, and maintain software solutions with a focus on AI integration, collaborating with teams to create innovative features.

Lead product development by identifying user pain points and building AI-powered solutions, while collaborating with teams to drive impact and iterate based on feedback.

The Engineering Manager will lead the team building the LangSmith observability platform, mentoring engineers, defining technical directions, and collaborating with product teams to develop reliable AI systems.

This role involves owning finance systems, driving AI adoption in planning processes, managing financial tools, and optimizing data architecture for effective decision-making.

The Director of AI will embed AI into daily operations, audit workflows, implement AI solutions, train teams, and measure adoption of AI tools.

As a Senior Software Engineer focused on AI agents, you'll develop core agent architecture, handle complex workflows, and work with large sales data to automate processes and support the sales cycle.

Seeking a Senior AI Engineer to develop automated systems for vulnerability research, reverse engineering, and secure engineering utilizing machine learning and AI-driven tools.

As a Software Engineer, you'll enhance AI Engine performance, optimize app features, and collaborate on GPU/CPU optimizations with hardware partners.

Lead the development and scaling of applied AI solutions at Coinflow, focusing on building internal tools, workflow automation, and ensuring governance in AI implementations across various departments.

The Lead AI Enterprise Data Engineer will architect scalable data platforms, develop AI solutions, and create real-time dashboards, while overseeing AI model deployment and integration with existing systems.

As a Forward Deployed Engineer, you will translate AI research into real-world applications, architecting solutions and deploying systems for enterprise customers.

The role involves developing and productionizing security detection models, collaborating with security research, and shaping engineering culture as a founding team member.

Lead engineering best practices and develop scalable AI-driven applications and data pipelines while mentoring other engineers. Analyze complex problems and deliver impactful AI products.

Lead advanced analytics and AI initiatives in compliance, collaborating with data scientists and engineers, translating requirements, mentoring, and maintaining governance standards.

The role involves leading the product lifecycle for AI products, collaborating cross-functionally to define features, track success metrics, and enhance user experience.

The role involves building relationships within the San Francisco AI ecosystem, attending industry events, identifying contacts, and generating partnership opportunities for Arkadium.

The role involves architecting and implementing scalable AI services, enhancing system reliability, and collaborating on software architecture for AI-driven search features.

As an AI Operations Specialist, you'll manage logistics accounting processes, automate systems, analyze workflows, and collaborate with engineering teams to enhance operations.