Top Machine Learning Jobs in Richmond, VA

Lead the design and development of personalization models, applying advanced AI/ML methods to enhance member experiences and collaborating with cross-functional teams.

The Manager of Data Science will develop and improve pricing algorithms, analyze data sets, and communicate insights effectively to enhance car pricing strategies at CarMax.

The Sr. Manager of Data Science oversees logistics modeling, develops planning strategies, builds a team of data scientists, and leads AI implementation for optimized vehicle transport planning.

As a Staff Applied Machine Learning Engineer, you'll design and implement LLM applications, integrating ML features to enhance user experiences and scalable services.

The Director of Lifecycle Marketing Operations will lead a team to enhance customer acquisition and retention strategies using AI analytics and automation.

Research Scientist at Upstart will develop machine learning models to enhance borrower risk predictions, design prototypes, and collaborate with cross-functional teams while mentoring junior members.

The role involves managing AI/ML products at Velocity Black, collaborating with stakeholders, optimizing concierge services, and driving innovation. Candidates should have experience in product management and a passion for AI/ML technologies.

As a Senior Business Analyst on the AI/ML team at Velocity Black, you will analyze data, support model governance, and collaborate with cross-functional teams to enhance product offerings through AI and ML tools.

The Sr. Channel Manager will drive revenue and partnership growth, strategize with key partners, and foster collaboration across the organization. Responsibilities include pipeline generation, tactical execution, and motivating sales teams to achieve goals.

Lead a team of ML and DevOps engineers to build infrastructure for the ML ecosystem, including tools for experimentation and deployment. Manage a distributed team while enhancing capabilities in ML system operation and analytics production.

Lead the development of AI-powered systems at Capital One, collaborating with cross-functional teams to deliver innovative machine learning solutions and optimize data pipelines.

Develop ML/RL models and infrastructure for AV simulations, optimize training loops, and support project timelines in autonomous vehicle tech.

Responsible for designing and deploying large-scale machine learning systems, optimizing performance, collaborating with cross-functional teams, and ensuring safe and responsible AI practices.

The Staff Full Stack Engineer will enhance machine learning workflows at Cruise by developing UX experiences, backend integrations, and overseeing system architecture and performance metrics.

As a Machine Learning Engineer, you will perform analysis on healthcare data, develop and deploy clinical machine learning models, and collaborate with various stakeholders.

As a Senior Creative Producer/Strategist, you will lead creative initiatives, shape advertising strategies, and analyze performance data to enhance brand messaging and drive growth. You will partner with media teams and manage production processes across platforms.

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.

Lead the design and implementation of simulation-based validation strategies for autonomous systems, mentoring engineers and ensuring performance metrics are met.

The Senior Manager, Product Analytics will lead a team to analyze product performance, drive data-driven strategies, and collaborate with cross-functional teams to enhance customer experience.

The Machine Learning Engineer will develop and deploy AI/ML models to enhance risk management systems at Coinbase, preventing fraud and improving user safety.

As a Senior Machine Learning Engineer in Risk AI/ML, you will lead model strategy and design sophisticated systems to prevent fraud while mentoring junior engineers.

The ML Research Scientist will focus on researching and implementing methodologies for explaining and evaluating fairness in ML models, ensuring compliance and trustworthiness in lending practices.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

Lead a team of developers to deliver AI-driven data solutions, utilizing AWS, Python, SQL, and big data technologies while collaborating across Agile teams.

Lead the design, development, and implementation of machine learning applications. Collaborate with teams to solve business problems using ML technologies and ensure high availability of ML systems.