Top Senior Machine Learning Jobs in Washington, DC

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

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.

As an Analytic Methodologist, you will lead analytics projects, develop and evaluate methodologies, and support the Department of Defense with your expertise in data science, knowledge graphs, and ontologies.

The Consultant advises clients on antitrust compliance using advanced analytics. They develop AI models, consult on workflows, and mentor colleagues while managing multiple projects and ensuring successful outcomes.

The Section Chief oversees data science solutions, leading econometric modeling and machine learning efforts while managing projects and team performance.

Lead Safety Architect for autonomous vehicles, focusing on safety architecture, metrics, analysis, and collaborative processes for software delivery and safety standards.

The Director, Finance Technology oversees AI and automation strategy, operational efficiency, and talent development, driving productivity in finance operations.

The Senior Director of Information Technology leads the global IT function, aligning technology with business priorities, overseeing digital transformation, cybersecurity strategies, and IT infrastructure optimization.

The Corporate Counsel will provide legal guidance on product development, AI governance, compliance, and commercial transactions, collaborating with various teams.

Lead the software engineering team to develop and implement machine learning models for energy trading, manage software operations, and streamline processes while utilizing advanced techniques for performance evaluation.

The Senior Staff Machine Learning Scientist will lead research initiatives in computer vision and multimodal understanding, develop novel models, and translate research into practical applications while mentoring team members.

The Engineering Manager will lead a team of Data Scientists and ML Engineers to build a Dispatch Optimization platform, focusing on model deployment and operational excellence.

The Principal ML Engineer at Agero will develop and productionize a Dispatch System using ML models, optimize decision-making processes, and lead a team to improve operational performance.

The role involves advising clients on AI strategy, designing AI solutions, and leading change management efforts. This includes governance, training, and client engagement while mentoring junior team members.

The Senior Computational Social Scientist will lead data science projects, applying methodologies to analyze unstructured data, build models, and deliver actionable insights to clients while mentoring junior team members.

The role involves leading data exploration and analytics projects, focusing on AI methodologies and their application in national security, while managing testing and evaluation procedures.

The AI Engineer will design, implement, and prototype GenAI and ML solutions to enhance operational intelligence and efficiency in investment services.

The Senior Backend Data Engineer will extend data ingestion and processing pipelines, build APIs and backend services, and provide technical leadership.

The Senior Product Architect will design security products, collaborating with product management and engineering teams, focusing on architecture and functionality for high-level product features.

Lead the development of AI systems for Trustbridge and manage junior engineers, focusing on production deployment and technical strategy.

The Staff Machine Learning Engineer will design and build scalable ML systems, mentor engineers, and drive AI strategy at SailPoint, focusing on AI-powered identity security solutions.

As a Cybersecurity Expert, you'll lead the establishment of a SOC, manage cyber operations, and collaborate on security solutions, focusing on compliance and technical mentorship.

Lead the development of a comprehensive CRE forecasting infrastructure, integrating traditional econometric methods with AI, managing a team, and driving analytical product innovation.

As a Senior Data Scientist, you will analyze complex datasets, develop algorithms, and provide insights to clients using machine learning and statistical methods. You'll lead projects, collaborate with teams, and apply data visualization to solve global challenges.

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.