Top Senior Machine Learning Jobs in Washington, DC

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

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 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.

Lead the ML Data Enablement team to define strategy and execution for accelerating third-party and internal data onboarding, enforce data quality and SLAs, build metadata and lineage standards, and deliver scalable data infrastructure and workflows to reduce time-to-production for ML models.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

The Transformation Office Lead designs and executes initiatives that drive organizational change while managing key projects for Humana's strategic goals. The role requires strong problem-solving, data analysis, and executive communication skills.

As a Senior Data Scientist, you'll analyze data to solve complex problems using machine learning and statistical methods. You'll lead projects, develop algorithms, and work closely with clients to derive insights from data.

As a Senior Software Engineer, you will tackle challenges in networking, autonomy, and systems integration, collaborate with teams, and ensure successful product deployment in military environments.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.