Top Machine Learning Jobs in Washington, DC

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.

The AI Solutions Engineer will design and deploy AI-enabled systems, working with architects and stakeholders to integrate AI capabilities into enterprise solutions.

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

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 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.

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.

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.

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

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 Engagement Manager leads client projects, manages teams, ensures timely delivery, develops client relationships, identifies business opportunities, and provides thought leadership.

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 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.

Lead centralized Machine Learning efforts at Affirm, managing model development lifecycles, fostering AI adoption, and overseeing a team of ML professionals to enhance business outcomes.

Design, develop, and deliver machine learning models for clinical data. Collaborate with stakeholders and optimize production ML systems.

Lead GenAI/AI initiatives by collaborating with cross-functional teams to identify opportunities, ensure ethical practices, and develop scalable solutions. Communicate effectively with stakeholders and support successful project transitions into products.

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