Top Machine Learning Jobs in Richmond, VA

Lead product management for Payments Intelligence data products (APIs, datasets) focused on organizing, enhancing, and managing spend data. Define roadmap, prioritize features, collaborate cross-functionally, monitor performance and data quality, and drive resilient, high-performing data platform solutions that enable analytics and digital experiences.

Lead and deliver large-scale technical programs and platforms, align cross-functional teams (product, engineering, design, data science), mitigate technical risk, drive execution and accountability, and deliver data-intensive and cloud-native solutions that meet business goals in a regulated environment.

Lead product management for an enterprise document management platform, owning ingestion/deletion/redaction capabilities. Drive roadmap, backlog, and engineering delivery; safeguard sensitive data, strengthen controls and monitoring, and partner with stakeholders to prioritize features using qualitative and quantitative data.

Ten-week, full-time paid Data Science internship (June–August 2027) working on machine learning, deep learning, and large-scale data analysis. Interns evaluate modeling tools, integrate internal and external data/APIs, design data science models, and present insights to stakeholders. In-person attendance at an assigned U.S. location is required; interns may be considered for full-time roles after graduation.

Ten-week, full-time paid Data Science internship for current PhD students. Interns will build and evaluate modeling and analytics tools, integrate internal and external data sources, design data science models, and communicate results. Candidates must continue their PhD after the internship and may be evaluated for full-time roles upon graduation.

Product Manager for the Audit Insights & Innovation team building AI-assisted auditing experiences. Own vision and roadmap for features in the Audit Compass app, collaborate with designers, engineers and data scientists, break down epics into MVPs, prioritize roadmaps, and deliver secure, compliant, customer-focused products in an agile environment.

Lead the vision and roadmap for a document intelligence platform, designing taxonomy and ontology, migrating to a graph-based architecture, enabling ML-driven extraction and chat-with-document experiences, and partnering across business lines to deliver compliant, discoverable, high-impact document products.

Lead development and delivery of GenAI/AI products for Commercial Banking. Define product specs, manage roadmaps, prioritize features, collaborate with data scientists, engineers, and cross-functional stakeholders, and serve as PM for a cross-functional pod to drive iterative quarterly delivery.

The Distinguished Engineer will drive innovation in banking technology, lead software engineering projects, mentor teams, and utilize AI and advanced architectures for risk management.

Lead engineering teams building high-throughput, real-time streaming pipelines and distributed microservices on cloud (AWS/GCP/Azure). Drive ML feature engineering, scalable services, containerized deployments, mentor engineers, and deliver robust cloud-native solutions to detect fraud and meet regulatory needs.

Lead product management for enterprise product and experience initiatives, partnering with design, data, ML, and engineering to define strategy, prioritize roadmap, prototype solutions, and deliver customer-centric, technology-driven products that achieve business outcomes.

Lead enterprise product and experience initiatives, guiding cross-functional teams (product, data, design, ML, engineering) to define strategy, deliver customer-centric digital products, prototype and apply emerging AI/automation tools, and drive transformational outcomes across Capital One.

The Staff Product Manager, Conversion ML will shape product strategy for Liftoff's machine learning system, Cortex, develop new ideas, conduct experiments, and adapt roadmap based on data.

Lead the In-Vehicle Experience team at Samsara, focusing on transforming in-cab cameras into intelligent companions. Collaborate with engineering, prioritize features, and ensure client interactions highlight trust and connection. Conduct customer research and integrate AI and ML into product features.

Drive strategy, roadmap, and continuous improvement of Card Servicing Intelligence products using GenAI and NLP. Own feature decomposition, acceptance criteria, and MVP delivery while partnering with data science, engineering, design, and stakeholders to deploy automated servicing solutions and measure business impact.

Lead engineering teams to build high-throughput, real-time streaming pipelines and services for fraud detection. Design and operate distributed microservices on AWS, collaborate with product managers and data science, mentor engineers, and occasionally code and evaluate implementations using Java, Python, Go, and container orchestration technologies.

Lead Pluralsight's curriculum strategy to identify and shape future skills; translate market and technology trends into a curriculum roadmap; align with product, GTM, and content production; measure portfolio performance with data; lead and develop curriculum directors and managers; define scalable frameworks and represent the company externally.

Lead and execute compliance assessments of scripts and models (CoDIR), identify high-risk scripts, prepare and report findings, monitor governance inventory, and explore GenAI/automation to improve processes.

Support Process Risk Optimization by identifying, assessing, and mitigating process-level risks across Enterprise Services. Conduct risk research, advise stakeholders, draft deliverables, support program delivery, prioritize multiple assessments, and drive process improvements and controls activities while collaborating with cross-functional teams to inform executive decision-making.

Lead corporate communications strategy and execution: own product and model launches, media and executive communications, narratives, social presence, and major company moments. Translate technical research and product advances into compelling stories for developers, enterprise buyers, partners, and analysts. Partner cross-functionally with CEO, CMO, product, brand, and demand gen to build credibility and influence in the voice AI ecosystem.

Lead CrowdStrike Finance & Accounting AI transformation: define operating model and governance, prioritize AI use cases, oversee POC-to-production delivery, drive enablement and change management, measure benefits realization, and report outcomes to executives.

Support risk and analytics efforts by performing SQL/Python-based analysis, monitoring portfolio health, building scalable reports, collaborating cross-functionally, and integrating AI tools to surface insights that inform product, risk, and growth decisions.

Lead finance transformation engagements using Oracle Cloud ERP and EPM. Advise clients on Oracle Financials and Hyperion, design budgeting/forecasting solutions, integrate RPA/ML/analytics, ensure compliance, build stakeholder relationships, and coach teams to deliver strategic finance outcomes.

Lead deployment, configuration, optimization, and operational support of CrowdStrike Falcon AI/ML detection and response capabilities. Tune ML models, build automation playbooks, develop scripts using Falcon APIs, integrate AI features with customer toolchains, support incident response and threat hunting, deliver customer workshops, and mentor team members. Travel up to 25%.

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.