Top AI & Machine Learning Jobs

Lead architecture and roadmap for large-scale ML platforms powering search, ranking, and recommendations. Build and deploy distributed, real-time ML systems, translate research into production, advance recommender and generative AI capabilities, mentor engineers, and drive cross-functional ML initiatives aligned with business goals.

Lead a global research organization to define scientific vision and build large-scale ML and optimization systems for targeting, bidding, forecasting, and marketplace efficiency. Translate research (reinforcement learning, causal inference, auction design, operations research) into production, partner with Product and Engineering, recruit and mentor scientists, drive experimentation and measurable revenue/efficiency impact, and represent the company in publications and conferences.

Develop and deploy machine learning algorithms, evaluate their performance, improve ML systems, and collaborate with cross-functional teams.

The role involves designing and implementing machine learning systems, mentoring engineers, leading technical strategies, and ensuring system reliability and scalability.

Develops and deploys machine learning algorithms, evaluates their accuracy, creates data pipelines, and contributes to innovations and technical documentation. Guides less experienced colleagues and collaborates across teams.

The role involves designing evaluation pipelines for AI agents, establishing benchmarks for performance, and collaborating with product teams. Responsibilities include dataset management, automated evaluations, and mentoring junior engineers.

As an AI Agentic Software Engineer, you'll design and operate agentic AI systems for customer applications, focusing on enhancing user experience and integrating AI throughout the development lifecycle.