Top Senior Machine Learning Jobs in Richmond, VA

Lead and manage engineering teams, deliver innovative software solutions, mentor engineers, and enhance software practices while utilizing cloud technologies and machine learning.

The Quantitative Analyst will analyze models and model risk practices, applying statistical and machine learning methods while collaborating with cross-functional teams to enhance business strategies and performance.

Lead the AML Network Surveillance Monitoring team, develop strategies for data analytics, ensure regulatory compliance, and manage diverse teams.

The Senior Manager in Product Management leads teams to innovate customer experiences, leveraging technology and data, while focusing on business outcomes and problem-solving.

The Principal Product Manager will lead the Underwriting team to improve credit risk models, manage vendor relationships, and analyze portfolio performance.

Lead strategy for growth data platform and personalization systems. Collaborate with teams to optimize customer experiences and drive product engagement.

Lead AI initiatives and governance, enhance AI capabilities, and develop internal training programs while collaborating across teams.

Lead analytical projects to optimize loan portfolio and pricing strategies, develop machine learning models, and collaborate across teams to drive growth.

Lead the design strategy for Pluralsight's analytics experience, translating complex data into actionable insights while mentoring designers and fostering collaboration across teams.

Manage global technical support teams for MongoDB, focusing on customer satisfaction through technical issue resolution, performance enhancement, and team development.

The role involves developing business strategies, managing a team of analysts, handling P&L accountability, and driving innovations in fraud protection within Capital One.

The Director of AI/ML Engineering will lead and scale the AI/ML team, collaborating on innovative projects in machine learning, computer vision, and predictive algorithms. Responsibilities include mentoring team members, overseeing the ML lifecycle, and driving technical vision alongside senior leaders.

The Advisory Solutions Consultant will support US Federal sales, engaging in pre-sales activities, understanding customer needs, and delivering product demonstrations.

The Staff Machine Learning Engineer will define technical strategies, design ML models for document processing and risk assessment, and build scalable ML systems to protect Coinbase users' funds.

The Engineering Manager will lead the Payments Risk engineering strategy, mentor the team, provide technical leadership, and collaborate across departments to ensure effective risk management solutions are developed for the organization.

The Senior Staff Software Engineer will design and implement risk platform architecture, mentor team members, and manage project priorities to mitigate financial threats and improve detection of user patterns.

As a Risk Manager, you'll analyze and mitigate security risks, implement fraud defenses, and collaborate with cross-functional teams to enhance security objectives.

The role involves leading and scaling the Risk AI/ML team, managing multiple teams, and owning end-to-end ML systems to mitigate fraud and risk at Coinbase.

The Staff Machine Learning Engineer will utilize AI models, mentor team members, and enhance automation solutions across Coinbase's operations, focusing on machine learning to solve complex challenges.

As a Senior Staff Engineer at Coinbase, you will improve incentives infrastructure, drive growth, and solve complex technical problems in cryptocurrency applications.

As a Senior Product Manager in Risk Enablement at Coinbase, you'll define strategies, prioritize roadmaps, and lead cross-functional teams to develop scalable risk management systems, ensuring compliance and enhancing customer security.

Lead and manage a data science team focusing on optimizing customer services through analytics, experimentation, and building predictive systems, while driving business impact through data-driven decision making.

Lead programs to deliver critical business goals and manage API strategies by collaborating with Product, Engineering, and other teams to execute enterprise-level initiatives.

The Principal Product Manager will lead the strategy and delivery of an AI-native compliance platform, overseeing product development and working cross-functionally with various teams.

Lead the strategy and delivery of an AI-native platform for internal tools and compliance. Collaborate cross-functionally to enhance scalability and efficiency.