Top Machine Learning Jobs in Washington, DC

As a Product Lead, you will craft the vision and strategy for Payments Intelligence, prioritize projects, and manage a team to optimize products that maximize user revenue while minimizing costs.

The role involves acting as a technical advisor for clients, driving product adoption and implementation of the Moloco Commerce Media platform, providing training, and collaborating with teams to enhance solutions based on client feedback.

The Principal Applied Scientist will lead the development of advanced computer vision and ML systems, optimizing solutions for real-time performance on edge devices and ensuring reliability in dynamic environments.

The Product Operations Associate will support the development of AI-driven products by ensuring accuracy, documentation, and effective workflows, while collaborating with various teams.

The Product Manager will shape product strategies, lead cross-functional teams, and integrate customer feedback to enhance AI-powered products and improve educator outcomes.

The VP of Client Development will lead InMobi's growth strategy within the OEM and Telco sectors, establishing executive partnerships, joint business plans, and aligning product innovation to maximize market opportunities. The role requires extensive experience in enterprise partnerships and strategic business development with global technology leaders.

As an AI Enterprise Account Executive, you will manage client relationships, articulate AI solutions, conduct product demos, and exceed sales targets.

The Manager, Growth Analytics & Marketing Science will build and evolve marketing measurement frameworks, drive analytics, and optimize marketing strategies through data and AI.

The role involves leading strategic AI partnerships, driving revenue growth, and managing cross-functional teams while advocating for AI initiatives internally and externally.

The Technical Product Manager will define roadmaps for an AI Platform, manage ML systems, partner with engineers, and improve healthcare outcomes.

As Machine Learning Tech Lead, you will design and implement AI solutions, manage projects, oversee code quality, and mentor team members while ensuring compliance and fostering a collaborative environment.

The role involves productionizing AI models and optimizing systems for secure, distributed environments, focusing on cloud, edge, and mobile applications.

The Global Head of Solutions Engineering will lead a team to enhance the technical customer journey, ensuring successful onboarding and long-term customer success while collaborating with various departments.

The Senior Solutions Architect will support Commercial Sales, collaborating with customers on technical evaluations, expanding usage of Temporal, building demos, and managing multiple clients, while fostering strong technical relationships.

The Director of AI will lead AI and machine learning initiatives, develop AI architecture for humanoid robots, oversee production-ready AI systems, and manage team growth and budget.

Lead the advancement of embedding-based retrieval systems, focusing on multimodal models, model performance, and extensibility for various use cases.

The CEO will lead AiTomic's development, oversee strategy and partnerships, and drive AI innovation in nuclear power operations.

The Core Engineer will develop backend systems, utilize AI tools for code quality, and optimize application performance while collaborating closely with teams.

Lead a team optimizing backend systems for Netflix's Member Experience Pages. Focus on performance, scalability, architecture, and team growth while collaborating with various stakeholders.

The Data Scientist will develop predictive models, analyze geophysical data, and collaborate with geoscientists to enhance exploration programs, focusing on mineral deposits.

The Senior Machine Learning Engineer will design, prototype, build AI systems, evaluate ML models, and improve Vectara's AI Agents with a focus on reliability and performance.

The role involves building AI technologies for customer service, developing ML systems, and collaborating with cross-functional teams to enhance user experiences.

Lead a team of engineers to develop AI and data products for optimizing guest and host applications, ensuring delivery of high-quality machine learning initiatives.

Develop and prototype new generative models for Pinterest Canvas, oversee training data collection, mentor junior researchers, and publish findings.

As a Quantitative Researcher, you'll develop strategies using alternative datasets to improve investment decisions, design and backtest models, and collaborate across teams to scale research into quant products.