Top Machine Learning Jobs in Washington, DC

Lead the development and implementation of automation techniques using AI and machine learning to improve life underwriting operations and processes.

The Manager of ML Agent Evaluation will lead a team to build and scale an evaluation framework for AI agents, ensuring they meet accuracy and reliability standards. Responsibilities include defining strategy, developing metrics, and collaborating across teams for continuous improvement.

Lead deep-dive analyses into account takeover and fraud, design and implement real-time defenses, collaborate with product/engineering/data science, run incident response, and deliver actionable insights to protect users while preserving UX and core metrics.

As an Engagement Manager, you will manage project workstreams, synthesize data, guide a team, and support client interactions while optimizing supply chain operations.

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

Conduct model development and implementation for risk models, support sales initiatives, analyze transaction data with big data technologies, and promote analytics education at Visa.

As Lead AI Architect for the Federal sector, you will oversee AI integrations, provide technical expertise, and ensure compliance with security requirements across federal environments. Leading installations, consulting on architecture, and supporting pre-sales efforts are key responsibilities, requiring deep knowledge in systems architecture and federal regulations.

The DNC Technology Internship offers hands-on experience in data analytics, software engineering, and political technology, aiming to develop future leaders in Democratic politics. Interns will work on technology projects while receiving mentorship, participating in team activities, and assisting the operations team.

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.

The Principal Product Manager will oversee product vision and strategy for AI solutions at Autodesk, collaborating with cross-functional teams and acting as a customer advocate to drive product development and innovation. Key responsibilities include roadmap management, customer engagement, and monitoring industry trends, requiring extensive experience in product management and machine learning.

The role involves leading sales and partnerships for NVIDIA's HPC and AI solutions in federal government and academia, promoting growth, collaborating with partners, and managing key accounts.

As a Strategic Projects Lead, you will develop and maintain data pipelines for Large Language Models, manage projects, validate data quality, and collaborate with machine learning experts to improve AI applications for public sector customers.

Lead technical vision and innovation, develop high-performance ML platforms, own the software development lifecycle, and collaborate with teams to enhance AI solutions.

As an AI Solution Engineer, you will architect and demonstrate AI solutions, lead technical discussions, and assist customers with AI outcomes in pre-sales engagements.

The Enterprise Account Executive will manage the sales cycle, acquire new customers, and expand existing accounts within Fortune 1000 companies, focusing on finance teams.

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

The Staff Research Scientist will conduct AI research, innovate in LLM and information retrieval, and collaborate with research teams.

The Engineering Manager, Machine Learning will lead a team focusing on 3D deep learning and computer vision, manage the ML roadmap, and implement best practices for MLOps pipelines.

The Senior Sales Engineer will drive pre-sales success by combining technical expertise in AI/ML with solution design, customer engagement, and thought leadership, collaborating closely with Sales and Product teams.

As a Research Scientist Intern, you'll work on machine learning problems, prototype features, write production code, and collaborate with mentors.

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

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.

The Senior Industry Marketing Manager will drive marketing strategy for AI/ML, develop initiatives, create content, and collaborate with sales teams.

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

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