Top AI & Machine Learning Jobs

The Data Scientist will analyze datasets, contribute to machine learning model development, collaborate with engineers, and learn to build scalable ML systems.

The Senior Manager, Data Science & Analytics will lead the analytics strategy for client engagement, focusing on data-driven insights and marketing performance to assist in customer acquisition efforts.

Design, build, and productionize end-to-end ML solutions on AWS: data exploration, model development, experiment design, packaging, deployment, monitoring, and cross-functional collaboration to drive product outcomes.

Design, build, and productionize machine learning solutions on AWS. Work end-to-end from data exploration, feature engineering, modeling, and evaluation to packaging, deploying, monitoring, and iterating models (including LLM/GenAI workflows). Collaborate with engineers, product partners, and data scientists to deliver reliable, reproducible ML systems and move prototypes into scalable production.

The Senior Agentic AI Engineer will build agentic workflows for campaign control, focusing on RAG and safety in an AdTech environment.

Build and optimize agentic workflows for campaign control in AdTech, implementing RAG systems, safety protocols, and monitoring tools.

As a Principal AI/ML Engineer, you will lead the development of machine learning solutions for advertising, focusing on optimization, personalization, and deploying models within a highly scalable infrastructure.

The Principal AI/ML Engineer will develop advanced ML models for the AdTech platform, lead system design, and collaborate across teams to optimize advertising strategies using AI.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

Build and deploy production-grade ML/LLM solutions for ad targeting, ranking, pacing, personalization, and creative intelligence. Design low-latency ML lifecycles, operate services at scale, integrate agentic LLM workflows, optimize inference, monitor model performance, and mentor engineers.