Top Machine Learning Jobs in Richmond, VA

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

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

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.

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 Machine Learning Engineer will design, build, and maintain production machine learning systems, focusing on scalability, reliability, and integration with existing products. Responsibilities include developing ML pipelines, establishing ML Ops best practices, and collaborating on product capabilities.

As a Loan Processing Representative, you will process loan applications, handle customer inquiries, and ensure compliance with quality standards in a remote work environment.

Design, build, deploy, and maintain production ML models and data pipelines at scale. Collaborate with product and data science teams, apply ML best practices, monitor model performance, and use cloud and CI/CD tooling to ensure resilient, governed, and explainable ML systems.

Lead the design and development of AI-powered features and platforms. Guide teams to create innovative solutions, ensure project success, and mentor team members while enhancing client relationships.

The role involves managing technology and cyber risks, performing risk assessments, collaborating with stakeholders to mitigate risks, and improving processes within a financial services context.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

Lead complex cross-functional technology projects, ensuring timely delivery through strategic planning, proactive risk management, and effective communication with stakeholders.

As a Machine Learning Engineer, you'll design, build, and deploy ML applications, collaborate with teams, and optimize models and data pipelines. You'll focus on both model development and ensuring high performance in production environments.

The Senior Machine Learning Engineer will design, develop, and implement ML applications, collaborating with teams to solve business problems, and ensuring the models are maintained and optimized in production.

As a Senior Associate in Business Operations, lead data-driven initiatives, A/B testing, and partnerships to drive customer growth and operational efficiency, collaborating with marketing and product teams.

The Product Manager for Marketplace Growth will develop quoting and automation systems, enhance partnerships, and leverage AI for better customer experience.

The CIO oversees technology delivery for Research and Public Information, ensuring strategic alignment, effective communication, and advanced computing capabilities to support the Federal Reserve's mission.

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.

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

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

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.

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.

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

The AI Advisor will drive customer engagement by advising on AI strategies, overseeing implementation, and collaborating on high-performance computing solutions. Responsibilities include leading AI maturity assessments, educating stakeholders, and developing tailored AI frameworks for clients in financial markets.

The role involves designing, optimizing, and deploying machine learning models for edge environments, focusing on computer vision. The engineer will collaborate with teams to integrate models and improve inference efficiency while mentoring peers and upholding company values.