Top Machine Learning Jobs in Richmond, VA

The Senior Associate, Data Scientist will partner with cross-functional teams to identify risks associated with models and validate machine learning models across the enterprise, enhancing decision-making while ensuring model governance and risk management.

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 role involves leading a cybersecurity team focused on threat detection, hunting, and logging while developing strategies involving AI and ML. Responsibilities include managing detections for threats and handling data security breach reporting.

The Compliance Testing Manager ensures regulatory compliance through quality assurance of testing processes, mentoring teams, and collaborating with business areas while managing risk-based compliance transactions.

As a Principal Associate in Process Risk Optimization, you'll identify risks, educate stakeholders, support projects, and drive process improvements in an evolving financial environment.

The role involves managing product management for AI/ML capabilities, focusing on customer experience, innovation, and leading cross-functional teams.

As a Principal Associate in Data Science, you'll develop modeling approaches, collaborate on cross-functional teams, and apply explainability techniques to improve credit decisioning at Capital One.

The Senior Manager, Product Management will lead the Tenant Value tower on the Payment Platform team, focusing on enhancing payment solutions, integrating AI/ML agendas, and driving cohesive delivery roadmaps to support internal customers' strategies.

The Distinguished Engineer will drive innovation in banking technology, lead software engineering projects, mentor teams, and utilize AI and advanced architectures for risk management.

The role involves providing legal counsel on AI and data models, managing risks, collaborating with stakeholders, and navigating complex legal landscapes.

The Director of Product Management will drive AI and automation product initiatives, focusing on innovation, operational efficiency, and compliance, while leading cross-functional teams to enhance customer experiences.

The role involves leading cross-functional teams, driving product management, and leveraging technology for innovative solutions to enhance customer experiences.

The Sr. Director of AI Program Management will lead AI initiatives, foster an internal AI community, support AI governance, and drive collaboration across teams for effective AI adoption.

As an AI Engineering Manager at PwC, you will lead the design and operation of AI-powered platforms, mentor engineers, and ensure project delivery excellence while focusing on security and scalability.

The Engineering Manager, Data Science will lead a team to drive machine learning initiatives in AdTech, focusing on optimization and modeling strategies to enhance client success and operational efficiency.

The role involves designing, building, and deploying computer vision models for vehicle damage detection, covering the entire ML lifecycle and collaborating across teams.

The Staff ML Engineer will design and operate Samsara's ML platform, collaborating with teams to enhance ML features and improve safety outcomes. Responsibilities include overseeing system reliability, leading technical direction, and mentoring engineers.

Lead engineering teams to design and implement core voice AI APIs. Responsible for team management, project planning, technical strategy, and collaboration with research and product teams.

As a Customer Success Engineer, you'll drive adoption and satisfaction for enterprise customers using Deepgram's voice AI technology, fostering strong relationships and aligning technical solutions with business objectives.

The Loan Processing Representative manages loan applications, handles customer inquiries via calls, and ensures accurate account updates.

The VP, Strategic Sales will lead enterprise sales efforts, focusing on Fortune 500 clients, developing relationships, and driving significant revenue through complex sales cycles.

The Head of Consumer Product will create engaging experiences using relational AI, focusing on user well-being rather than metrics like engagement. Responsibilities include product strategy, user research, gamification, and community building.

Lead AI/machine learning innovations and advanced analytics for new vehicles. Develop statistical models for pricing and valuation, guiding experiments and communicating insights.

Lead the development of fraud prediction models using machine learning, collaborating across teams to build, scale, and monitor models in production.

Lead a team of ML engineers to develop fraud detection models, defining strategies, driving model evolution, and ensuring effective integration with cross-functional teams.