Top Machine Learning Jobs in Washington, DC

The Senior Machine Learning Engineer will design and optimize ML models, manage end-to-end ML projects, and enhance SailPoint's AI capabilities while collaborating with various teams to integrate AI features into products.

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

Dandy seeks a Machine Learning Engineer to develop 3D computer vision models using SOTA methods, collaborate with product teams, and implement MLOps pipelines.

The role involves building computer vision models, researching deep learning methods, handling large datasets, and implementing MLOps best practices.

Build and optimize machine learning models for 3D dental applications, research state-of-the-art methods, and implement MLOps best practices.

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

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

As a PhD Systems & AI/ML Research Intern, you'll work on infrastructure problems, build prototypes, run benchmarks, and document findings.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

The role involves designing, developing, and deploying machine learning models for healthcare applications, collaborating with cross-functional teams, and optimizing model performance.

Lead Scribd's product strategy for a new Discovery product organization, focusing on search and recommendations through advanced ML systems and user-centered design. Mentor PM teams, oversee the development of AI-driven features, and align product vision with business goals.

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

Lead MLOps team to build scalable infrastructure for 3D deep learning, drive ML roadmap execution, and collaborate cross-functionally to enhance ML pipelines.

The Staff Data Scientist will build predictive models using advanced machine learning techniques, conduct research on fraud detection, improve modeling processes, and work with cross-functional teams to deploy models while managing model risks.

The Strategic Portfolio Lead at Scale AI will manage key partnerships with government entities, drive growth in AI initiatives, and lead cross-functional teams to align strategic goals with measurable outcomes. Responsibilities include fostering relationships, overseeing growth strategies, and serving as an advisor to stakeholders in high-stakes discussions.

The Senior Machine Learning Engineer at CDW will develop and deploy ML models, manage data pipelines, and collaborate with teams to solve business problems using AWS technologies.

Design and build ML features using LLMs, collaborate on technical architecture, and ensure safety and performance of deployments.

As a Quantum Applications Intern, you will work on a technical research project related to quantum algorithms and methods for material simulation, while gaining experience in a dynamic startup environment.

As a Digital Product Manager, you'll define, deliver, and manage machine learning powered products, driving their lifecycle and ensuring alignment with customer needs and strategic goals.

Lead the Data Science & POCs team to optimize fraud analytics and decision systems, managing projects, mentoring staff, and collaborating with teams to reduce fraud losses.

Lead the strategic adoption of AI and emerging technologies, define AI roadmaps, guide implementations, and foster cross-functional collaboration to drive innovation initiatives.