Top Machine Learning Jobs in Richmond, VA

As a Data Scientist, you will develop algorithms, collaborate on product requirements, and communicate data-driven insights, while enhancing product offerings and delivering actionable insights.

Lead manager enablement and AI-native learning programs across Coinbase. Own end-to-end manager onboarding, design AI-driven interventions, facilitate live and self-service learning, partner with HR teams, set success metrics, and consult on cross-functional content to drive measurable behavior change and scale.

The role involves collaborating with technology teams to develop customer-focused products, utilizing machine learning for anti-fraud solutions, and leading cross-functional teams in an agile environment.

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

Lead the design and implementation of ML training systems, manage a team, promote engineering culture, and drive product development.

The Research Engineer will collaborate with scientists to develop and validate machine learning models for speech technologies, manage scalable training systems, and design tools for accessibility to non-technical users.

The Senior Product Manager will oversee the strategy and development of telematics data products, manage cross-functional teams, and ensure product viability and market alignment through customer insights and technical fluency.

The role involves leading product management efforts to improve document data management through GenAI and machine learning, enhancing efficiency and user experience.

Lead engineering teams to design and implement core voice AI APIs. Responsible for team management, project planning, technical strategy, and collaboration with research and product teams.

The Staff ML Engineer will design and operate Samsara's ML platform, collaborating with teams to enhance ML features and improve safety outcomes. Responsibilities include overseeing system reliability, leading technical direction, and mentoring engineers.

Lead the Creative Serving engineering team to define strategy, roadmap, and execution. Translate business goals into technical deliverables, collaborate with ML and product stakeholders, ensure high-uptime integrations with partner exchanges, provide technical guidance and feedback, enforce engineering best practices, balance short- and long-term priorities, and mentor engineers into future leaders.

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

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.

The VP, Strategic Sales will lead enterprise sales efforts, focusing on Fortune 500 clients, developing relationships, and driving significant revenue through complex sales cycles.

As a Senior AI Engineer, you'll design and implement AI-driven solutions, focusing on full-stack development and production-grade applications while mentoring junior team members.

As a Principal Applied Scientist, you'll define the technical vision for offer optimization and conversion modeling systems, ensuring alignment across teams while overseeing large technical initiatives and contributing to real-world machine learning solutions.

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.

Provide technical pre-sales support for SailPoint, managing proof-of-concept processes, architecting solutions, and developing custom code for identity management.

The Director of Product Management for ML Platform will own the product strategy and execution, mentor PMs, and collaborate with ML teams to enhance infrastructure and manage costs.

As Principal Product Manager for the Agentic Platform, you will set the vision and strategy for AI infrastructure, drive product development, and facilitate adoption across teams.

Manage complaint records for SaMD applications, ensure audit readiness, perform trend analysis, and coordinate quality aspects of software releases while collaborating with cross-functional teams.

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.

Manage a team of ML engineers to build and optimize Affirm's economic decisioning engine using advanced ML techniques. Collaborate across teams, provide technical leadership, and mentor engineers while driving a cohesive long-term ML strategy.

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 the design and implementation of critical Safety AI initiatives, focusing on real-time perception systems for edge devices and optimizing models for production deployment in safety-critical environments.