Top Machine Learning Jobs in Washington, DC

Design and implement AI solution architecture, addressing client needs with innovative strategies and mentoring teams. Oversee complex systems and ensure alignment with business goals.

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.

Lead AI & ML initiatives by designing and deploying machine learning models and collaborating with teams to drive solutions for government healthcare clients.

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 Software Engineer for Agentic Search, you will build AI-powered search infrastructure, develop query understanding, and collaborate with cross-functional teams for optimal search performance.

As an Account Executive, you'll drive strategic sales, acquire new enterprise customers, negotiate contracts, and manage a sales pipeline for Runpod's AI infrastructure offerings.

Design and implement AI and ML systems for the Defense and Intelligence sectors, ensuring scalability and integration in cloud environments while using modern tools and frameworks.

Design and implement AI systems for defense and intelligence sectors, focusing on machine learning solutions, model deployment, and operationalization.

As a Cybersecurity Architect, support project management of cybersecurity tools, develop integration strategies, and lead teams in network design focusing on security and innovation.

As an Aviation AI/ML Engineer, you'll develop and deploy machine learning models to enhance aviation safety by processing large datasets and conducting statistical analyses.

As a Data Scientist, you will analyze data sets using machine learning and artificial intelligence to provide actionable insights for clients across various sectors.

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.

As an Aviation AI/ML Engineer, you'll develop and maintain machine learning solutions to enhance aviation safety, collaborating across teams to implement robust ML strategies.

The Product Specialist will drive growth for AI-enabled legal technology, support transactional attorneys, and contribute to product strategy and model training.

As VP Customer Success, you'll lead the customer success strategy, manage teams, enhance client relationships and ensure high customer satisfaction and retention.

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 a Senior Product Manager, you will lead the transformation of Scribd's platform, developing product vision, strategy, and communicating with various stakeholders while tracking user success metrics.

The AI Solution Engineer will architect and deliver AI solutions, lead technical discussions, and develop proof-of-concepts for customers, focusing on pre-sales engagements to demonstrate AI capabilities.

The AI Innovation Manager will lead AI initiatives, collaborate across teams, evaluate technology, and drive adoption to enhance legal services efficiency.

As a Director in Financial Risk Management, you'll lead analytics development, enforce risk limits, ensure model governance, and collaborate for strategic risk integration.

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

As an Applied Machine Learning Scientist, you will innovate and develop machine learning algorithms, write production code, and collaborate to implement and test these solutions based on historical data.

The Applied Data Science Associate role involves training to become a Customer Facing Data Scientist, aiding clients in data science solutions, and supporting Federal customer engagement through AI and ML applications.

The Senior Machine Learning Platform Engineer will build foundational components for ML models, mentor junior engineers, and optimize streaming pipelines. Responsibilities include enhancing ML infrastructure and ensuring data quality.

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.