Top Machine Learning Jobs in Richmond, VA

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

The Staff Research Scientist will conduct AI research, innovate in LLM and information retrieval, and collaborate with research teams.

Lead and grow a data science team to optimize customer service operations through advanced analytics, modeling, and real-time insights. Collaborate across departments to improve user experiences and drive measurable business impact.

Lead technical programs focused on AI/ML products at Capital One, ensuring robust platform development and execution across teams. Drive team growth and promote the TPM discipline while managing complex programs and mitigating risks.

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

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

The role involves designing and building ML applications, leading teams, and collaborating on data-intensive solutions using various technologies, while ensuring optimal performance and governance of ML systems.

The Senior Manager in ML Engineering will lead design and implementation of ML applications, optimize systems, and collaborate with cross-functional teams for data solutions.

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.

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

Lead the strategy and delivery of an AI-native platform, overseeing design and development of internal tools and systems for compliance and risk management.

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

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, overseeing internal tools and compliance programs for Circle.

Lead architectural strategy and technical vision for Affirm's Purchasing, Credit Underwriting, and Machine Learning infrastructure domains, mentoring senior engineers and guiding cross-functional teams.

The Principal Product Manager will lead the development of an AI-native platform, overseeing design, strategy, and cross-functional coordination for compliance and operational tools within Circle.

Lead the strategy and delivery of an AI-native platform, transforming internal tools into a unified system while collaborating with cross-functional teams.

The Principal Product Manager will lead the strategy and delivery of an AI-native platform, connecting internal tools and compliance systems at Circle, ensuring regulatory performance while fostering innovation.

Lead the strategy and delivery of an AI-native platform, overseeing design and development of internal tools, compliance programs, and partnership with vendors.

Lead the strategy and delivery of an AI-native platform, transforming Circle's internal tools and compliance systems while collaborating cross-functionally.

As a Senior Software Engineer on the Data Platform team, you'll design and operate data services, maintain scalable ingestion pipelines, and collaborate on data governance, ensuring reliability and performance of critical data systems.

As a Senior Software Engineer, you will develop and maintain data platform services, ingestion pipelines, and collaborate across teams to ensure data reliability and quality.

You will own and evolve the core Data/ML platform, build data pipelines, monitor data flows, and collaborate with various teams to deliver solutions.

As a Senior Software Engineer in the Data Platform team, you will design and maintain data systems, implement pipelines, ensure data quality, and collaborate across teams to enhance data governance and platform operations.