Top Artificial Intelligence Jobs

Contribute to AI projects by developing complex physics problems, ensuring accuracy, and verifying solutions. Engage in real-world applications and maintain quality assurance of AI outputs.

Review AI conversational quality by auditing text for tone and emotional intelligence, developing prompts, and analyzing communication styles.

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

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.

Lead the vision and execution of Nextiva's AI Agents Platform, enhancing customer experiences through innovative technology and cross-functional collaboration.

As an AI & Software Engineer III, you'll design and develop AI-driven solutions for the Alli platform, mentor junior members, and promote collaboration while enhancing system scalability and performance.

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.

As a Sr. Staff Software Engineer, you will design and run Databricks' Data Intelligence Platform, develop tooling for large-scale systems, and lead architecture efforts while mentoring engineers.

Design and operate large-scale AI/HPC networks, optimize performance and availability, and automate tasks with Python. Significant travel required.

The Director of AI Adoption & Enablement drives AI solution adoption, influences customer journeys, and manages AI integration across teams, ensuring customer success and strategy alignment.

Lead AI and data strategy engagements for clients, developing solutions to improve business outcomes through data and AI adoption. Guide teams and build client relationships while managing complex projects.

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.

Develop innovative AI/ML models for credit risk in consumer lending, ensuring compliance and collaborating cross-functionally to enhance financial solutions.

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

Develop and deploy credit risk AI/ML models for new lending products, ensuring alignment with business goals and compliance with regulations.

The Senior AI Scientist will develop credit risk models, collaborate across teams, ensure regulatory compliance, and enhance data pipelines to improve lending decisions.

Develop and deploy AI/ML models for credit risk and fraud detection; collaborate cross-functionally to align with business goals; drive data strategy and model lifecycle.

Develop and monitor credit risk AI/ML models for lending products while ensuring compliance and collaborating with cross-functional teams.

The Senior Credit AI Scientist will develop AI/ML models to assess credit risk for new lending products, collaborating with various teams, ensuring model fairness and compliance, and improving data science infrastructure.

The Senior Credit AI Scientist for Consumer Risk Fraud will develop AI/ML models for credit risk, oversee model lifecycle, and collaborate across teams to impact lending decisions.

Develop AI/ML models for credit risk in lending products, collaborating with teams to optimize data strategies and ensure model compliance.

As a Senior AI Scientist, you'll develop credit risk AI/ML models, collaborate across teams, ensure regulatory compliance, and innovate within Intuit's consumer lending products.

As an AI Analyst, you'll consult with various departments to identify AI opportunities, build business cases, evaluate technical feasibility, and measure outcomes for AI initiatives.

Develop and deploy AI/ML models for fraud detection in financial products, ensuring compliance and collaboration across teams while innovating data strategies.