Top Machine Learning Jobs in Washington, DC

Lead mobile app attribution strategies, collaborating with teams across engineering and data analytics to optimize performance and feature implementation.

Lead the creation and optimization of machine learning algorithms, develop and refine production-grade models, and drive testing of innovative algorithms using historical data.

Develop and implement messaging and positioning for AI products, create marketing content, lead go-to-market strategies, and analyze market research.

The Senior Product Manager will advance fraud detection capabilities, manage product lifecycles, develop requirements, and collaborate with engineering and data science teams.

The Senior Principal Product Manager will define the product strategy for ExtraHop's RevealX platform, focusing on enhancing SOC workflows and leading cross-functional execution while mentoring peers and aligning product vision with business goals.

Own and close enterprise customer deals, develop expansion opportunities, educate customers on AI architectures, engage with multiple stakeholders, and collaborate with product and engineering teams.

The Product Manager Insurer Experience will enhance the Insurer experience on the AI Risk Exchange platform by identifying opportunities, collaborating with teams, and delivering high-impact solutions that drive value for third-party insurers.

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.