Top Senior Machine Learning Jobs in Richmond, VA

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.

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 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.

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 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.

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.

The Senior Associate, Data Scientist will partner with cross-functional teams to identify risks associated with models and validate machine learning models across the enterprise, enhancing decision-making while ensuring model governance and risk management.

Lead and grow a full-stack engineering team delivering cloud-native, microservices-based risk management solutions. Collaborate with product managers, mentor engineers, oversee architecture and delivery, and occasionally contribute code. Drive adoption of modern cloud, container, and AI/ML technologies to build scalable, compliant systems.

Owner of product features for Card Intelligence ML initiatives; collaborate with data scientists, engineers, and stakeholders to define roadmaps, break down epics into MVPs, prioritize features, and accelerate model-to-market delivery for fraud prevention.

Lead and grow multiple product-focused engineering teams; mentor engineers; collaborate with product managers; improve engineering practices; design, build, deploy scalable full-stack and backend systems (web, mobile, microservices, ML); migrate monoliths to microservices; drive availability, resilience and AWS deployments while fostering innovation and inclusion.

The Compliance Testing Manager ensures regulatory compliance through quality assurance of testing processes, mentoring teams, and collaborating with business areas while managing risk-based compliance transactions.

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.

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.

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.

Lead planning, deployment, tuning, and operational support of CrowdStrike Falcon's AI/ML detection and response capabilities. Implement and troubleshoot AI-driven detection models, automation playbooks, API integrations, and threat-hunting for customers. Provide training, mentorship, and customer-facing collateral while optimizing detection efficacy and integrating Falcon into customers' security workflows.

Senior CAO Elite Analyst II performs advanced threat hunting, dark web and intelligence research, delivers customer briefings, responds to ad-hoc intel requests, validates security controls using MITRE ATT&CK, and partners across teams to protect and advise enterprise customers.

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.

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 AML model development, optimization, validation, and governance for transaction and customer screening across banking, brokerage, and lending. Build ML/statistical models, maintain vendor solutions, ensure regulatory compliance, document methodologies, produce AML dashboards, and support audits, risk assessments, and stakeholder communications.

Lead technical vision and hands-on engineering for Capital One's Global Payment Network. Design and deliver high-throughput, low-latency distributed systems in the cloud, drive AI-native automation, mentor engineers, influence executives, and improve performance, reliability, and security across payment platforms.

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.

The role involves deploying and supporting CrowdStrike's AI capabilities in cybersecurity, optimizing threat detection, and mentoring teams on AI solutions.

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.

Lead product analytics to inform strategy and optimize user experience: translate business questions into analysis, build reliable analytics infrastructure, run A/B tests and ML/statistical analyses, track funnels and cohorts, support 0-to-1 product launches, and communicate actionable insights to cross-functional teams.