Top Senior Machine Learning Jobs in Richmond, VA

Lead the development of machine learning systems for Cedar Pay's Personalization Engine, manage ML engineers, and ensure ML model effectiveness.

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.

Embed in Research to drive end-to-end delivery of STT/TTS model versions and features. Map dependencies and risks, run cross-functional programs, establish lightweight processes, and communicate status across Research, Product, DataOps, and Engineering to ensure timely launches.

The Enterprise Account Executive will manage the complete sales cycle, build relationships with senior leaders, and drive platform adoption within data-intensive organizations.

The Staff Machine Learning Engineer will lead ML initiatives, develop ML systems, collaborate with cross-functional teams, and mentor junior engineers to optimize healthcare intake workflows using advanced machine learning techniques.

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 role involves deploying and supporting CrowdStrike's AI capabilities in cybersecurity, optimizing threat detection, and mentoring teams on AI solutions.

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

As a Lead Machine Learning Engineer, you will design, build, and optimize ML applications, collaborate with teams, and ensure model performance.

Lead a team to develop and deploy autonomous pricing algorithms for vehicle valuation, optimize pricing strategy to drive $10-25M/year in value, collaborate cross-functionally to implement models in production, and build management systems to monitor and adjust pricing in real time.

Lead development of optimal logistics planning strategies and AI-driven models to autonomously plan vehicle moves. Build and manage a 4-7 person data science team, implement production-ready optimization and ML systems, collaborate cross-functionally to deploy solutions, and measure impact to deliver $10-25M/yr in incremental value.

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.

The Senior Technical Program Manager will oversee the delivery of complex projects related to Application Modernization, working closely with multidisciplinary teams, driving programs forward, and balancing product goals with engineering constraints.

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.

The Senior Lead Machine Learning Engineer will design, implement, and scale ML applications, ensuring performance and high availability while collaborating with cross-functional teams.

As a Senior Software Engineer, you'll enhance servicing decisions with ML models, improve experimentation, and scale decisioning systems for personalized borrower experiences.

The role involves leading product management for AI/ML solutions, ensuring customer focus, technological innovation, and solving complex problems collaboratively.

As Principal Product Manager, you will define the strategy for Upstart's pricing platform, enhancing its scalability and reliability while collaborating across teams to innovate pricing capabilities for loan products.

As a Senior Associate in Business Operations, you'll drive data-driven decisions, lead A/B testing, and optimize user acquisition strategies to scale the business.

This role involves solving complex customer problems, conducting demonstrations, supporting proofs of concept, and collaborating with teams to enhance products in a pre-sales environment.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

As a Senior Associate in Business Operations, you'll drive data-driven initiatives, partner across teams, and lead A/B experiments to optimize strategies for growth and operation efficiency.