Top Machine Learning Jobs in Richmond, VA

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

Lead the development of innovative AI solutions, guide teams through complex challenges, and collaborate with diverse stakeholders to enhance operational effectiveness and achieve strategic objectives.

The Senior Technical Product Manager will design and deliver innovative cloud-based technology products, enabling experimentation and improving engineering practices while collaborating with various stakeholders.

As a Distinguished Engineer, you'll lead technical initiatives in cloud banking, mentor teams, and develop advanced technology solutions while promoting engineering excellence.

Lead and grow multiple product-focused engineering teams to design, build, deploy, and operate full-stack applications and microservices. Mentor engineers, improve engineering practices, collaborate with product managers, drive availability, scalability, AWS deployments, and break monoliths into microservice architectures while encouraging innovation and technical excellence.

The role involves supporting AI/ML risk initiatives, collaborating with teams, managing risks, and ensuring effective communication and delivery of risk management projects.

The Product Manager will lead efforts to protect customers against fraud using technology, working with cross-functional teams to enhance digital products and improve processes.

Lead product management initiatives focused on cloud solutions, infrastructure strategy, and ensuring business alignment with technology for innovative customer experiences.

The role manages the vision and roadmap for data products, focusing on data quality, collaborating with technical teams, and driving innovation in data solutions.

As a Distinguished Engineer, you will lead technology solutions in the Servicing Platform space, focusing on modernization, security, performance, and usability while mentoring and influencing engineering teams.

The Associate will support AI/ML risk management for Capital One by collaborating across teams, identifying risks, and ensuring compliance with strategic objectives.

The role involves consulting on HR strategies, building relationships, managing stakeholders, integrating technologies, and coaching managers.

Manage data science initiatives to develop machine learning models and collaborate with cross-functional teams for data-driven solutions, focusing on customer-centric innovation.

The Principal Product Manager, AI will lead the AI platform strategy at Webflow, collaborating across teams to enhance product innovation and growth, and develop a unified AI strategy based on customer insights.

As an AI Integrations Staff Engineer at Vetcove, you'll integrate AI models like ChatGPT into existing products, optimize performance, and collaborate with data science teams to enhance user experience.

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.

Lead model risk audits by reviewing model development, validation, and implementation; partner cross-functionally to build and evaluate ML/NLP solutions using Python, Spark, H2O, and AWS; translate technical findings into business risk insights and drive model risk governance.

Lead the Discover engineering team to develop a recommendation engine for a new marketplace, focusing on machine learning systems and user experience.

Own and scale Coinbase's notification platform and experience to grow MAU, drive engagement, and maximize LTV using ML-driven personalization, analytics, and cross-functional execution.

Design and implement the core Risk platform architecture, manage projects, mentor team members, and write high quality code for Coinbase products.

Design, lead, and evolve the Channel Integrity Program to manage risks related to bribery, corruption, and fraud, utilizing predictive analytics and compliance strategies.

The AI Engagement Manager will foster relationships with top partners, facilitate adoption of AI solutions, and analyze performance using BI tools.

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.

Lead the product vision, strategy, and execution for Consumer Risk within Checkout at Affirm, focusing on credit decisioning, pricing, and fraud prevention while managing a team of Product Managers and collaborating with various functional teams.

Lead a cross-disciplinary design team to drive product design strategy, enhance user experiences, and leverage AI tools. Collaborate with other departments to ensure data usability and design excellence.