Top Senior Machine Learning Jobs in Washington, DC

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

The Engineering Manager for Smart Signals leads a team, manages execution, and maintains technical depth in backend systems for fraud detection. They shape strategy and coordinate across teams to enhance product quality.

The Senior Product Manager will lead product roadmap refreshes, enhance customer satisfaction through feedback, translate insights into product requirements, and advise on integrations and capabilities in a SaaS environment.

As Global AML Lead, you will oversee AML operations globally, lead regional teams, modernize processes using AI, and ensure compliance with regulations.

The role involves collaborating across departments to build AI-driven models, optimizing data for decision support, and developing scalable solutions for business growth.

The Solution Architect focuses on integrating and enhancing AI features within enterprise applications, driving operational excellence and hyperautomation across the organization.

As Lead Data Scientist, you will develop machine learning and generative AI solutions for financial planning and strategic decision-making, mentor team members, and engage with finance leadership.

The role involves researching, developing, and implementing AI solutions, optimizing models, integrating AI into workflows, and collaborating with teams to enhance business efficiency.

Design and implement credit strategies using data, machine learning, A/B testing and advanced analytics to optimize underwriting, pricing, and credit line decisions. Lead end-to-end analytics for credit card products, monitor portfolio performance, conduct root-cause analysis, partner cross-functionally, and communicate findings to stakeholders.

Manage the development and implementation of Evio Compass, an analytic product identifying patient risks, while guiding cross-functional teams to drive customer success and enhance ML/AI product features.

The Director of Product, Ecosystem is responsible for managing partnerships and integrations in the AI space, guiding product strategy and development, and engaging with external companies.

Lead the Decision Science function, designing ML models, overseeing experimentation frameworks, and ensuring model adoption across the company, driving operational and commercial improvements.

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 role involves building, deploying, and maintaining ML infrastructure, optimizing systems, and ensuring production reliability while collaborating with data scientists and product teams.

As the Director of Measurement Strategy, you will define the analytics roadmap, manage client relationships, lead analytics projects, drive revenue growth, and develop your team while ensuring high-quality analytics delivery.

Lead pre-sales technical engagements for Conversational and Generative AI solutions, collaborate across teams, and design value-driven demos for enterprise customers.

The Group Product Manager will lead the Real Time Decisioning and 3D Secure authentication product suites, focusing on fraud management and security while enhancing customer experiences. Responsibilities include strategy development, cross-functional collaboration, and product optimization.

The VP of Engineering will lead a high-performing team to develop AI-enabled technologies, managing technical vision and execution strategies while ensuring product reliability and security in complex environments.

The Solutions Architect will bridge customers and sales, ensuring the technical fit of software solutions, leading demos, and managing deployments effectively.

The Staff Product Manager will define product strategy, lead the product lifecycle, collaborate across teams, and drive innovation in claims processing software.

Seeking a Senior Researcher to evaluate and optimize video datasets for training generative video models, ensuring data quality and effectiveness through analysis and characterization.

Lead technical solution development for military and Federal civilian health capture and proposal efforts, ensuring technical compliance and producing quality architecture designs.

The Payment Integrity Principal leads payment integrity strategy and automation across Lyric's platform, ensuring accurate payment logic and collaborating with various teams on technical requirements and improvements.

As a Senior Machine Learning Engineer, you'll design and develop workflows utilizing vision-language models, manage data pipelines, and collaborate with multiple teams to enhance model accuracy and efficiency.

The Senior Data Engineer will develop real-time streaming data pipelines for pricing algorithms and machine learning models, ensuring low-latency data delivery and system reliability. Responsibilities include collaborating with other teams, defining architectural standards, and mentoring junior engineers.