Top Machine Learning Jobs in Richmond, VA

The Demand Gen Specialist drives SharkNinja's Amazon marketing by managing media campaigns, collaborating with teams, and optimizing budgets to increase brand awareness and engagement.

The Marketing Specialist will enhance Amazon marketing efforts, manage media strategies, optimize campaigns, and collaborate cross-functionally to drive business growth. Key responsibilities include SEO optimization, budget management, and integrating innovative technologies to improve ad performance and user experience.

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.

As a Technical Content Writer, you will create and manage technical documentation for Runpod's GPU cloud platform, collaborating with various teams to ensure clarity and engagement while staying updated on AI trends.

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

As a Senior Engineering Manager for ML & AI, you'll lead Data Science and ML initiatives, mentoring team members, and collaborating across R&D to drive strategic AI solutions that impact the business.

The role involves supporting the AI/ML risk management program, collaborating across teams, managing deliverables, and establishing relationships to mitigate risks in technology projects.

Lead teams building computer vision and machine learning for AI dash cameras, managing model lifecycle, coordinating with cross-functional teams, and driving AI product development.

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.

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

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

As a Research Scientist Intern, you'll work on machine learning problems, prototype features, write production code, and collaborate with mentors.

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

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.

Lead Machine Learning Operations initiatives by developing retail-specific models and a user-friendly Model Workbench for marketers. Ensure product development aligns with customer needs.

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

Lead the SDL and Cash Line ML teams, developing innovative machine learning models to improve lending solutions and expand credit access. Collaborate with cross-functional teams to drive product strategy and enhance model performance, while mentoring a team of ML scientists.

Lead the strategy and development of Dandy's doctor-facing design interface, managing the full product lifecycle and collaborating across multiple teams to enhance the user experience for dentists.

The Senior Counsel will manage eDiscovery matters, provide legal advice on litigation support, and oversee operations related to data management in legal processes.

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.

The Risk Analyst will develop strategies to mitigate fraud risk, analyze data, and collaborate with various teams to support low friction customer experiences. Responsibilities include reviewing accounts, creating analytical models, and reporting on progress against business goals.

The Staff Backend Product Software Engineer will lead a team in delivering technical solutions, collaborating on product management, and mentor engineers while maintaining high standards in a reliable, scalable environment.

The role entails managing an Agile team focused on design, development, and implementation of scalable machine learning applications while ensuring architecture performance and model governance.