Top Senior Machine Learning Jobs in Washington, DC

Lead data acquisition and management strategies for AI models, analyze data systems, oversee partnerships, and guide a team in optimized data usage.

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

The Technical Program Manager will support Distributed Energy Resource (DER) partners in integrating with EnergyHub, managing launches, tracking project progress, and ensuring post-launch support, all while optimizing processes for scalability.

Lead the Notifications Relevance team, developing machine learning models for personalization and user engagement, while managing engineering efforts and team growth.

As a Senior Solutions Consultant, you will support sales by understanding client needs, providing product demonstrations, and managing proposals while fostering collaboration between teams.

As a Lead AI Engineer, design and implement AI and machine learning models and pipelines to enhance healthcare outcomes and efficiency.

Lead the Anaplan platform and data strategy, develop financial models, implement advanced analytics, and mentor team members for a FinTech team.

The role leads the integration of AI in Cyber Threat Defense, managing teams and projects to enhance security operations and drive innovation in defense mechanisms.

The role focuses on integrating AI technologies into cyber defense, enhancing security controls, and mentoring junior engineers, while ensuring ethical use of AI.

Lead a team to develop Dropbox's AI product, Dash. Focus on driving product revenue, operational agility, and mentoring team members. Utilize ML techniques and data-driven insights for decision making.

The Senior Machine Learning Engineer will develop AI workflows, collaborate with teams on models and pipelines, conduct research, mentor junior members, and innovate solutions for healthcare.

The Principal Product Manager will define and execute the product roadmap for the Data and AI Platform, collaborating with engineering and sales to develop AI-powered identity security solutions.

The Sales Director at Kalibri will drive sales strategies, manage client relationships, ensure customer satisfaction, and lead complex sales processes in the SaaS hospitality industry.

The VP Analyst will conduct in-depth research on AI technologies in Cloud IT services, develop market insights, engage clients, and contribute to thought leadership.

Lead the development of ranking and personalization strategies for Yahoo News and Homepage, leveraging machine learning to enhance user engagement and drive monetization metrics, while managing cross-functional teams and stakeholders.

The Senior Data Analyst will develop and evaluate Generative AI and LLMs, implement machine learning models, and collaborate with teams to enhance customer experience and deliver data insights.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

Manage and mentor engineers, contribute to product and infrastructure, drive projects, and collaborate cross-functionally to enhance AI platforms.

As a Recruiter at Voleon, you will manage full-cycle recruitment processes, engage with hiring managers, develop candidate pipelines, and ensure an exceptional candidate experience to support business growth.

As an AI Applications Engineer, you will bridge AI research and implementation, driving experiments, building infrastructure, and releasing products to improve user experience and metrics.

As Engineering Manager, lead the Data Science Team in delivering impactful solutions through data analysis and machine learning, fostering collaboration, and mentoring team members.

The Senior Director of Global Quality Solutions drives efficiency in quality processes through automation, leading digital transformation initiatives, managing projects, and fostering innovation in document management.

The Manager of Engineering will lead and mentor technical teams, manage project delivery, ensure alignment with organizational goals, and drive technical excellence.

Lead the development of intelligent decision engines modeling customer intent in real-time using advanced data science techniques such as causal inference and machine learning. Collaborate with cross-functional teams to optimize systems for search, fulfillment, and customer experience.

Lead initiatives to enhance advertiser experience and define execution strategies for ML-powered User Acquisition products. Collaborate with engineering teams and analyze metrics to ensure product performance.