Top Machine Learning Jobs in Washington, DC

The role involves building ML infrastructure, creating data pipelines, ensuring data quality, and collaborating with data scientists to optimize models.

The Senior Machine Learning Engineer will design and implement high-performance CTR and CVR prediction models, refine systems for user behavior modeling, and ensure model reliability through performance monitoring while engaging with stakeholders.

The role involves designing and implementing distributed systems for batch inference workloads, creating developer-friendly APIs, and fostering engineering excellence.

Drive the development of AI solutions for payments, ensuring low latency and high reliability, while mentoring teams and collaborating cross-functionally.

As Principal Engineer, lead the development of AI agent systems for ML infrastructure. Oversee team management, architectural vision, and technical contributions while ensuring projects meet productivity metrics.

Design and implement machine learning models to improve Risk and Fraud detection systems. Lead technical strategy and partner with operations to address rapidly evolving challenges.