Top Senior Machine Learning Jobs in Washington, DC

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

The Product Marketing Manager will develop go-to-market strategies, create compelling messaging, perform market research, and collaborate with product and sales teams to position Oscilar's AI risk platform effectively.

As a P&C Actuary, you will assess insurance risks, review regulatory compliance, support audit teams, and document findings while nurturing client relationships and contributing to practice development efforts.

Lead the ML and AI engineering team, strategizing and implementing AI solutions for business growth, mentoring staff, and collaborating across departments.

The Senior Display Media Account Manager develops and executes digital media strategies, focusing primarily on Amazon DSP, while fostering client relationships, providing analytics, and driving business growth for clients.

The Senior Machine Learning Engineer will develop core ML models, manage data pipelines, and collaborate with stakeholders to deliver scalable ML solutions.

The Simulation Engineer will work on AI solutions for CAE workflows, integrate AI technologies, engage with customers, and enhance AI software products.

Lead the development of outfit completion models by combining client preferences and machine learning to improve personalized recommendations at Stitch Fix.

The Principal Solution Consultant serves as an expert in CLM software, aligning solutions with customer outcomes, leading POCs, and leveraging AI tools in presales strategies.

As an ML Ops Infrastructure Engineer, you will design CI/CD pipelines for ML, maintain deployment systems, and implement monitoring while collaborating with research teams to ensure model quality and performance.

As a Systems Architect, you'll define and drive the infrastructure architecture for AI/ML workloads, design multi-cloud strategies, manage compute orchestration and storage systems, and lead capacity planning, while also collaborating with engineering leadership.

As a Senior Machine Learning Engineer, you will design and implement systems for ML and NLP, optimizing models and tools for Clover's healthcare solutions.

The Senior Machine Learning Researcher will design experiments, research new algorithms, and collaborate on deploying models for computer vision and robotics applications.

The Quantitative Researcher will execute project work, apply rigorous quantitative methods, lead data collection and analyses, and communicate findings to stakeholders.

The Senior AI Engineer will build production agent capabilities, partner with design customers, develop LLM features, and maintain system integrations within the AI platform.

The Manager of ML Agent Evaluation will lead a team to build and scale an evaluation framework for AI agents, ensuring they meet accuracy and reliability standards. Responsibilities include defining strategy, developing metrics, and collaborating across teams for continuous improvement.

As a Lead Data Scientist, you will analyze complex data sets, mentor a team, develop predictive models, and lead data science solutions for clients on global challenges across various sectors.

The Product Manager will architect and manage the Public Sector Data Engine, focusing on ML Ops tools for AI applications while ensuring system integration and collaborating with government stakeholders.

The Senior Product Marketing Manager will develop positioning and messaging for Cresta's Travel & Hospitality sector, leadership in market conversation, and go-to-market strategies to drive revenue growth.

Lead a team of advanced product analysts, conduct data analysis and statistical modeling, design experiments, and develop reporting tools to drive product decisions and business performance.

As a Staff AI Researcher, you will develop AI solutions, work with complex data sets, redesign systems, and implement AI/ML techniques for health improvement.

The Senior AI Engineer at RegScale designs and operates AI systems, ensuring reliability and performance while overseeing the data pipeline and compliance integration, alongside improving AI capabilities across the engineering organization.

The Director of Statistics leads statistical initiatives in phase 3b/4 and RWE studies, provides expertise in HTA and regulatory compliance, and collaborates with cross-functional teams. Responsibilities include statistical analysis plans, Bayesian methodologies, and mentoring junior staff.

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 role involves defining the vision and strategy of the Outreach AI Platform, prioritizing the roadmap, collaborating with engineering and data science teams, and engaging with customers to refine AI strategies.