Top Senior Machine Learning Jobs in Richmond, VA

Define architecture and metrics for autonomous driving evaluation, lead cross-functional integration across autonomy and simulation teams, develop statistical and machine learning methods, analyze large-scale time-series data, manage evaluation KPIs and release gates, and communicate safety and readiness insights through dashboards and stakeholder presentations.

Serves as the technical bridge between customers, Sales, and technology teams. Leads technical discovery, solution architecture, demonstrations, workshops, proofs of concept, and evaluations using HERE data, APIs, mapping, routing, spatial analytics, cloud, AI, and enterprise integration. Partners with Sales to qualify opportunities, reduce technical risk, develop proposals and reusable presales assets, and guide customers toward location-intelligence solutions.

Leads procurement governance, operating standards, project portfolio oversight, AI adoption, digital transformation, continuous improvement, executive reporting, financial analysis, compliance, and supplier performance initiatives. Establishes frameworks, KPIs, dashboards, workflows, and knowledge systems while coordinating procurement with facilities management and other operational stakeholders.

Own BI product strategy for Quote-to-Cash and Order-to-Cash financial systems. Identify operational friction and translate it into BI, AI, and machine learning opportunities. Create PRDs, roadmaps, and functional requirements while partnering with finance, sales, legal, product, technical delivery, and engineering teams. Ensure quoting, contracting, billing, revenue recognition, pricing, and order data are accurately represented in downstream data products and dashboards.

Design, build, deploy, and maintain machine learning models and applications at scale. Develop production-grade code, data pipelines, cloud-based ML architectures, and automated testing and deployment workflows. Monitor and retrain production models, optimize performance, and collaborate with Product, Data Science, and Agile engineering teams. Apply responsible AI, model governance, explainability, and security best practices.

Leads product strategy and strategic initiatives for Capital One’s Consumer and Developer Experience organization. Partners with senior leaders, analyzes business landscapes, drives annual planning, supports AI transformation, develops product innovation and prototypes with engineering, and leads strategy and product teams. The role requires strong strategic problem-solving, product orientation, analytics, people leadership, relationship-building, communication, and the ability to operate effectively in ambiguity.

Review and audit machine learning models and model risk practices across the enterprise. Partner with cross-functional teams to design, train, evaluate, validate, and implement ML and NLP solutions, using tools like Python, Spark, H2O, and AWS. Translate technical findings into business recommendations and assurance for stakeholders and the Audit Committee, while researching and applying emerging Generative AI and state-of-the-art methods.

Design and lead the technical strategy for search across Vannevar’s products. Build and improve full-text, vector, and LLM-powered retrieval systems, optimizing latency, relevance, index quality, freshness, and performance. Collaborate with ML, product, design, and mission strategy teams to translate user needs into search innovations. Apply expertise in information retrieval, NLP, machine learning, indexing, ranking, query parsing, tokenization, vector search, and evaluation frameworks.

Lead Runpod’s Americas sales organization and revenue number across new business, expansion, and renewals. Manage and coach Account Executives and Account Managers, oversee forecasting and pipeline, lead complex enterprise deals and contract negotiations, build regional go-to-market strategy and sales playbooks, and convert product-led demand into revenue. Partner with Marketing, Product, Legal, and Finance while improving sales efficiency through AI and developing a remote-first team.

Develops and validates machine learning and statistical models for anti-money laundering, transaction monitoring, customer screening, and risk rating. The role evaluates AML data quality, integrates vendor solutions, maintains governance and regulatory documentation, leads model lifecycle quality control, and reports performance through management dashboards. It also supports AML risk assessments, audits, regulatory examinations, and cross-functional stakeholder coordination.

Lead technical vision and architecture for Capital One's web platform ecosystem. Drive AI-native web delivery standards, large-scale platform migrations, developer experience improvements, mentor engineers, and evangelize best practices across the organization.

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

Leads enterprise AI initiatives from use-case prioritization through deployment and adoption. Translates business needs into AI solution specifications, manages cross-functional delivery teams, oversees budgets, timelines, resources, and risks, and measures business value and ROI. Advises senior stakeholders on AI roadmaps, governance, and emerging technologies while supporting team performance and talent development.

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

Lead Amazon performance marketing strategy and execution, manage Sponsored Ads and DSP, collaborate with agencies and cross-functional teams, optimize campaigns and budgets, analyze performance with AMC/analytics, and measure commercial impact to drive ROAS and customer acquisition.

Owns US customer and commercial operations for a healthcare hardware and AI company. Responsibilities include forecasting camera demand, managing manufacturing partners and inventory, launching repair and replacement services, executing and negotiating customer contracts, managing legacy obligations, creating SOPs and policies, and automating operational workflows with AI tooling. The role is remote, US-based, with occasional travel for customer engagements and team offsites.

Lead CX data intelligence initiatives using SQL, dashboards, analytical models, and AI/LLM techniques. Analyze customer journeys, operational metrics, churn risks, and retention indicators; develop insight agents and self-service reporting; define CX health metrics; and translate findings into strategic recommendations, process improvements, and experiments. Partner with operations, support, product, data, and engineering teams while maintaining data quality, governance, and documentation.

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.

Own and execute multi-year strategic partnerships with a hyperscaler and an AI lab, aligning technical integrations, commercial motions, and joint go-to-market plans. Coordinate cross-functional teams, run operational cadences, track measurable outcomes (pipeline, ARR, integrations), and represent partnerships to executives while driving hands-on execution and follow-through.

Lead the architecture, development, deployment, and reliability of cloud-based customer experience platforms using AWS, Genesys Cloud, and Salesforce Service Cloud. Design integrations, data pathways, CI/CD pipelines, and infrastructure automation while ensuring security, compliance, scalability, and performance. Serve as a technical subject matter expert, guide global agile teams and vendors, coach engineers, establish DevOps practices, and troubleshoot critical production issues.

Build and maintain Safari AI’s cloud infrastructure, including production services, system design, reliability, documentation, and security compliance. The role sets technical direction for the cloud stack, collaborates with engineering and operations teams, improves development processes, and delivers incremental features. Candidates should have 4–6 years of software engineering experience, public cloud expertise, and experience taking complex services from concept through production. Streaming processing and machine learning experience are advantageous.

Build AI systems for legal teams by designing legal datasets, annotating training and benchmarking data, defining model requirements, translating legal workflows into structured processes, validating product capabilities, engaging clients, and prototyping with AI tools and scripting. Requires a JD and active or prior bar membership, 2–8+ years of legal practice, strong familiarity with litigation, investigations, compliance, or e-discovery workflows, and comfort collaborating with engineers and product teams.

Design, develop, implement, support, and improve financial-system integrations, databases, reporting solutions, and automated processes. Lead technical financial systems projects from requirements gathering through implementation, focusing on Aderant Expert, SQL Server, SSIS, SSRS, and T-SQL. Collaborate with Finance, IS, vendors, and business stakeholders; troubleshoot complex data issues, optimize database performance, document technical solutions, and support multiple concurrent initiatives.

Own Litify’s AI Call Intelligence product line end to end, including call capture, transcription, summaries, conversational insights, voice agents, and agentic workflows. Define the roadmap, quality standards, guardrails, and evaluation practices; lead client discovery, beta programs, competitive research, backlog prioritization, and cross-functional delivery. Partner with engineering, design, data science, and go-to-market teams to launch products, drive adoption, and measure outcomes.

Drive annual recurring revenue growth across mid-market and enterprise fleet-management opportunities. Manage assigned sales opportunities, develop consultative sales strategies, maintain accurate forecasting and engagement records in Salesloft and Salesforce, collaborate with revenue operations and partner teams, support enterprise RFX processes, analyze market and competitive trends, and build telematics industry expertise. The role includes strategic planning, presentations, conference participation, and up to 40% international travel.