Top Machine Learning Jobs in Washington, DC

The Quantitative Mortgage Lending Analyst will analyze mortgage lending data, enhance analytics tools, integrate performance metrics, and collaborate on lending strategies.

The Enterprise Account Executive will drive the sales of Sift's fraud solutions to Fortune 1000 companies, engaging with key stakeholders and building custom strategies to address fraud challenges through value-based selling and collaboration.

The SOC Product Manager will define the vision and roadmap for SOC capabilities, manage tools and teams to enhance cybersecurity processes, and ensure compliance with standards.

Assist in developing a circularity chatbot named 'Loop' for GE Vernova, including building AI functionality and managing datasets.

Lead AI transformation initiatives in procurement, creating impactful research, developing strategies, and advising clients on AI integration and analytics for business outcomes.

Develop and optimize machine learning models for data extraction from tax documents, collaborate on software integration, and mentor junior team members.

As a Machine Learning Engineer, you will perform analysis on healthcare data, develop and deploy clinical machine learning models, and collaborate with various stakeholders.

Design, develop, and deliver machine learning models for clinical data. Collaborate with stakeholders and optimize production ML systems.

Lead product strategy for AI-driven security operations, defining the vision and roadmap for agentic workflows, collaborating with teams, and measuring success metrics.

The VP of Marketing & Acquisition will lead the acquisition strategy to drive growth, manage multi-channel campaigns, optimize performance through analytics, and ensure alignment across teams. Responsibilities include overseeing creative development, budget management, and customer engagement strategies, while demonstrating effective leadership and a focus on measurable goals.

The VP of Marketing will lead the marketing ecosystem to drive growth, define competitive advantages, influence product design, and mentor a diverse team towards a mission-driven culture.

The Senior Treasury Analyst will enhance Voleon's cash returns, manage liquidity, and support treasury initiatives, collaborating with finance and technical teams to drive operations and growth.

The AI Application Engineer will design and deploy AI systems, collaborate with teams, implement Generative AI solutions, and promote continuous learning in AI practices.

Lead the development and implementation of machine learning solutions, managing a team to drive strategic decisions and innovative business outcomes.

Lead the development of product safety strategies, focusing on risk assessment and compliance using AI technologies and methodologies while collaborating with cross-functional teams.

The Sales Engineer will serve as a technical lead, guiding clients on advanced data integration and analytics solutions in healthcare, impacting revenue and client engagement.

Lead development of AI-powered solutions, architect large language models, capture domain knowledge, and deliver client-focused insights. Manage a team to integrate AI capabilities across products.

As a Research Scientist at Netflix, you will collaborate on machine learning projects to enhance content metadata and discovery, while operationalizing models.

The role involves handling complex technical support cases, acting as a senior escalation point, managing bugs, mentoring peers, and improving support quality.

As a Senior Fullstack Engineer, you'll architect and build a high-concurrency auction engine, leveraging AI for enhanced user experiences and system reliability.

As a Principal Product Manager, you will drive innovation in AI technology, reshape expert acquisition strategies, and collaborate with cross-functional teams to enhance product offerings.

The Business Operations Associate will support data-driven decision-making, execute A/B tests, and optimize user acquisition and operations efficiency.

As a Staff Product Manager for Ads Optimization, you will define strategies for campaign performance, collaborate with engineering and data teams, and present insights to leadership, focusing on optimization and automation.

Lead data-driven marketing analytics for subscriber performance and revenue optimization, providing insights and forecasting while managing a team of analytics professionals.

The Technical Program Manager will lead the Trade and Risk Platform evolution by optimizing customer experience, managing vendor tools, and improving risk workflows.