Top Artificial Intelligence Jobs

Develop data pipelines, build predictive models, implement generative AI, and collaborate on AI solutions across various domains.

Develop predictive models and AI solutions; build data pipelines; collaborate with teams, and conduct research on generative AI techniques.

As an AI Applications Engineer, you will bridge AI research and implementation, driving experiments, building infrastructure, and releasing products to improve user experience and metrics.

The AI Deployment Strategist will drive AI adoption, design solutions, and ensure customer success by collaborating with stakeholders and leading workshops to identify opportunities.

Design and develop AI architectures and full-stack systems using Node.js and Next.js. Collaborate with teams to enhance user experience with AI-driven solutions.

The Solutions Architect will lead enterprise customizations for an AI coaching platform, design workflows, and ensure alignment between AI systems and user outcomes while collaborating with cross-functional teams.

The Program Manager will oversee and drive autonomous project initiatives, collaborate with engineering leads, develop metrics, and deliver executive updates.

Lead the product vision and strategy for Generative AI platform, align cross-functional teams, engage with customers, and mentor Product Managers.

Lead the product vision and strategy for a Generative AI platform, driving innovation and customer satisfaction while managing a team of Product Managers and collaborating across departments.

The Senior Product Manager will lead the product vision and strategy for a Generative AI platform, ensuring alignment with company goals and customer needs while mentoring a product management team.

Lead the product vision and strategy for DigitalOcean's Generative AI platform, aligning teams and ensuring customer satisfaction while driving product innovation.

Lead the product vision and strategy for a Generative AI platform, working with cross-functional teams to innovate and deliver AI-driven solutions.

Develop and optimize AI models for photography and video applications, translating code from Python to C++, and deploying on various platforms.

Design and build modern front-end systems, SDKs, and components. Collaborate with teams to connect AI capabilities and enhance user workflows. Mentor engineers and influence technical direction.

As an AI Research Scientist/Engineer, you'll develop advanced techniques for language models and agents. Responsibilities include novel fine-tuning methods, creating evaluation frameworks, and enhancing reasoning skills for strategic decision-making benchmarks. The role involves collaborating with leading researchers to drive innovations in open-source AI.

The Generative AI Specialist will develop and implement AI models, collaborate with teams, ensure ethical standards, and mentor engineers.

As an AI Engineer at Quintess AI, you will build and deploy AI agents, enhance voice AI capabilities, and collaborate with customers to solve real problems.

Lead the development of AI tools and intelligent workflows at StubHub, managing strategy and execution for enhancing buyer and seller experiences with innovative solutions.

Lead the development of AI-driven workflows by building data pipelines, deploying ML models, and collaborating with cross-functional teams. Mentor junior engineers and contribute to engineering best practices.

The role involves modernizing a .NET Azure application, focusing on performance and scalability while integrating AI development tools and mentoring junior developers.

The role involves designing AI tooling, developing machine learning models, establishing best practices, and collaborating with teams to innovate AI solutions.

Lead AI development and implementation at StubHub, design AI tooling, develop ML models, and establish AI best practices while collaborating with cross-functional teams.

The AI Research Scientist will lead ML projects, collaborating with teams to enhance model design and apply innovative techniques for financial data analysis.

The role involves advancing AI and biology research, implementing models, and engaging with scientific communities and partners through effective collaboration and impactful publications.