Top Machine Learning Jobs in Richmond, VA

As a Manager of Quantitative Analysis, you will lead model audits, apply machine learning and statistical methods to enhance modeling practices, and communicate insights effectively across teams.

The GVP, Strategic Sales - East leads the east strategic sales team, managing 32 sales professionals, overseeing business processes, and enhancing customer relationships to drive sales growth.

The Lead Data Scientist will drive statistical methods for autonomous vehicle safety metrics, develop data solutions, and enhance safety assessments while collaborating with various teams.

The AI Product Sales Manager defines and executes sales plans, manages the sales pipeline, and develops client relationships in AI solutions within various sectors.

The Senior Data Scientist will optimize product performance through data analysis, collaborate with teams to provide insights, and support product initiatives.

Lead Compa's Applied AI team, overseeing ML projects and initiatives. Collaborate cross-functionally and ensure delivery of production-grade AI systems.

Manage advanced data analytics for credit strategies, optimize risk models, mentor a team, and oversee project completion in a remote-first environment.

Lead AI initiatives and governance, enhance AI capabilities, and develop internal training programs while collaborating across teams.

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

The Senior Staff Software Engineer will drive infrastructure improvements and build systems to enhance user experience and growth at Coinbase.

The Sr. Product Designer will create user-centered mobile experiences for AI-supported mental health therapy. Responsibilities include designing workflows, collaborating with teams, and utilizing strong design skills in mobile applications.

As a Machine Learning Engineer, you'll enhance ML productivity, improve model deployment, and implement algorithms for credit decisioning systems.

Lead the Security & Risk department, overseeing cybersecurity and fraud prevention while implementing security automation and tools for innovation. Manage a skilled team, foster partnerships, and ensure physical security for employees and operations.

The role involves managing product development in Card Intelligence using ML and AI, collaborating with cross-functional teams to enhance fraud prevention strategies.

Lead and manage engineering teams, deliver innovative software solutions, mentor engineers, and enhance software practices while utilizing cloud technologies and machine learning.

Lead AI initiatives at GM, developing comprehensive strategies aligned with business objectives and promoting best practices in a cross-functional environment.

The role involves managing risk assessment processes, collaborating with stakeholders to improve risk posture, and leading projects while analyzing data to drive assessments.

The EMEA Sales Leader will drive the company's expansion in the region, establish sales pipelines, develop partnerships, and oversee the sales team.

As an Account Executive, you'll drive strategic sales, acquire new enterprise customers, negotiate contracts, and manage a sales pipeline for Runpod's AI infrastructure offerings.

The Senior Forward-Deployed Engineer will build and maintain software solutions, integrate systems, debug issues, and participate in customer success initiatives while collaborating with engineering teams.

The Quantitative Analyst will analyze models and model risk practices, applying statistical and machine learning methods while collaborating with cross-functional teams to enhance business strategies and performance.

The Senior Product Manager will develop risk management strategies, build scalable solutions, manage product roadmaps, and ensure compliance with financial regulations, while leading cross-functional teams.

As a Staff Machine Learning Engineer, you'll define technical strategies, design ML models, implement real-time ML pipelines, and deploy systems at scale to enhance Coinbase's operations and user protection.

The Engineering Manager, Applied AI will lead and mentor a team focused on generative AI products, oversee project development, and collaborate with cross-functional teams to drive software development best practices.

Drive transformation in fraud management at Capital One by leveraging technology, leading cross-functional teams, and focusing on customer-oriented product solutions.