Top Machine Learning Jobs in Washington, DC

The Staff Software Engineer in Conversion ML will design and implement ML pipelines, develop software, monitor models, and collaborate with a team of engineers.

The intern will support AI research and prototyping, assist in implementing AI/ML models, document findings, and analyze data with a collaborative team.

The Chief Product Officer leads the product strategy, design, and execution at Pluralsight, ensuring alignment with customer needs and market trends, while fostering team collaboration and innovation.

As an AI Integration Engineer, you will integrate AI models into products, collaborate with data science teams, and enhance user experience.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

The Senior Product Manager will define product strategy, drive AI innovations, develop new SKUs, engage customers, and collaborate cross-functionally in supply chain visibility solutions.

The Data Quality Lead will develop data quality practices, modernize data services, oversee cross-functional teams, and establish analytics capabilities in a digital environment.

Lead the design and development of Contact Center AI solutions, manage a team, and enhance customer engagement through innovative strategies.

As a Senior Machine Learning Engineer, you will develop and deploy machine learning solutions to enhance financial systems, improve user experience, and address fraud detection and other challenges.

The Senior Data Scientist will optimize product performance, drive product innovation through data-driven insights, and foster a culture of data-driven decision-making across teams.

As a Product Manager, you will contribute to product strategy, gather market insights, and collaborate with stakeholders to build innovative healthcare solutions.

Lead the Machine Learning team to automate prior authorization processes by delivering insights and analytics products through complex data analysis, while mentoring staff and collaborating with cross-functional partners.

Cedar seeks a Staff Applied AI Scientist to develop AI-powered healthcare solutions, lead projects, mentor the team, and enhance patient billing experiences.

Lead and grow a team of engineers to build innovative software and hardware solutions, driving strategic vision and leveraging AI technologies.

The Principal Product Manager will lead the Underwriting team to improve credit risk models, manage vendor relationships, and analyze portfolio performance.

The Principal Cloud Account Executive drives net-new enterprise sales, manages complex deals, builds C-suite relationships, and leads business development for cloud solutions.

As a Staff Product Manager, you will own strategy for the Benefits Platform, enhance insurance accuracy, and collaborate with engineering and data teams to improve automated decision-making using ML.

Manage client needs in building and documenting AI/GenAI solutions, mentoring team members, and enhancing business process efficiency.

Lead fraud prevention strategies for Mortgage and Home Equity products by collaborating with cross-functional teams and analyzing fraud trends.

The Senior Product Manager will define the AI product vision, lead cross-functional teams, and manage the product lifecycle to enhance employee productivity at Coinbase.

Lead the development of quantitative infrastructure tools and models, collaborate with engineering teams, and enhance analytics capabilities across departments.

The Staff Machine Learning Engineer will lead technical strategy, collaborate on product development, ensure operational excellence, and foster team quality and ownership.

The role involves leading the strategy for risk management systems, ensuring regulatory compliance, and scaling product solutions for a global market.

Drive the vision for Upstart's ML and simulation platform, modernize infrastructure, mentor senior engineers, and align cross-functional strategies.

The Vice President of Data and Business Intelligence will create strategies for data governance, analytics, and insights to support business decisions and growth while managing a team.