Top Senior Machine Learning Jobs in Washington, DC

Lead the SDL and Cash Line ML teams, developing innovative machine learning models to improve lending solutions and expand credit access. Collaborate with cross-functional teams to drive product strategy and enhance model performance, while mentoring a team of ML scientists.

As an Enterprise Account Executive at Salesforce, you will drive revenue growth by leveraging AI-driven solutions, understanding client needs, and demonstrating how Agentforce can solve business challenges while fostering client relationships.

Experienced data scientist and ground ambulance subject-matter expert to advise federal clients on Medicare ambulance policy, design and oversee claims and NEMSIS-based analyses, ensure data quality and validation, present findings, supervise analysts, support rulemaking and monitoring, publish peer-reviewed research, and contribute to data collection system testing and submitter training.

The Machine Learning Engineer will deploy models, improve existing systems, collaborate with teams, and work with large datasets for government clients.

The Engagement Manager manages project execution, collaborates with technical teams on AI solutions, develops client relationships, and coaches consultants.

The role involves leading data exploration and analytics projects using statistics and AI methodologies for national security, requiring significant experience in data science and AI.

As an Analytic Methodologist, you'll lead data exploration and analytics projects for the Department of Defense, applying innovative methodologies and managing complex data analysis.

Research Engineer will develop and optimize machine learning algorithms for defense applications, focusing on edge devices and enhancing autonomy for military systems.

The Senior Technical Program Manager will oversee the delivery of complex projects related to Application Modernization, working closely with multidisciplinary teams, driving programs forward, and balancing product goals with engineering constraints.

Lead the development of advanced AI models, integrating cutting-edge technologies into healthcare applications while mentoring junior staff and ensuring compliance.

The Chief Enterprise Architect will oversee the design and integration of cloud and data architecture solutions for government projects, ensuring alignment with industry standards and best practices.

The Director will manage AI software deployments, lead teams, handle client relationships, oversee project management, and drive business growth through new opportunities.

The Head of Consumer Product will create engaging experiences using relational AI, focusing on user well-being rather than metrics like engagement. Responsibilities include product strategy, user research, gamification, and community building.

Lead AI/machine learning innovations and advanced analytics for new vehicles. Develop statistical models for pricing and valuation, guiding experiments and communicating insights.

The Senior Data Scientist will design and implement data-driven initiatives, optimize product offerings using AI/ML, and collaborate with engineers on scalable solutions.

Lead the Washington D.C. office by driving sales and delivery, architecting enterprise solutions across cloud, mobility, ML/data analytics and user-centered design, using AI responsibly, managing SDLC and project profitability, mentoring staff, recruiting, and supporting firm growth in a hybrid work model.

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.

Champion Responsible AI across the enterprise by developing and operationalizing ethical, transparent, and compliant AI solutions. Lead R&D and production deployments of generative and traditional ML, design evaluation and monitoring frameworks, conduct model risk and fairness assessments, and partner with legal, compliance, and IT to implement governance and training.

As a Senior Software Engineer, you'll enhance servicing decisions with ML models, improve experimentation, and scale decisioning systems for personalized borrower experiences.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

The Senior Applied AI/ML Scientist will lead the design and deployment of AI solutions, collaborate on impactful features, and enhance product capabilities by leveraging advanced AI and ML techniques.

The Machine Learning Engineer develops production ML algorithms and recommendation systems, collaborates with teams, and optimizes user experiences.

The Principal Product Manager will design and lead AI-driven systems for pricing intelligence, financial reconciliation, and supplier performance reporting in the travel sector, collaborating with data science and engineering teams.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

As a Senior Staff Machine Learning Engineer at Affirm, you will lead complex ML system design and implementation, mentor engineers, and drive innovative ML strategies for financial services.