Top Senior Machine Learning Jobs in Washington, DC

Own analytical relationships with travel technology partners, creating scalable reporting on supply, pricing, and performance. Conduct exploratory analysis, apply machine learning and statistical methods, build dashboards, automate recurring workflows with AI tools, and translate complex findings into recommendations for product, engineering, commercial, and executive audiences.

Lead FranklinCovey’s research and measurement agenda, data product strategy, applied behavioral research, and thought leadership. Manage researchers, design rigorous studies, conduct statistical analyses, evaluate data fitness, develop benchmarks, and measure behavior change and business outcomes. Partner with Product, Technology, legal, sales, and marketing teams to translate research, AI, and analytical methods into data-driven products, personalized recommendations, and client insights. Ensure responsible data use, privacy, methodological rigor, and clear executive communication.

Owns Boostlingo’s sales enablement function, including onboarding, ramp programs, product certification, playbooks, training, coaching, launch readiness, sales technology, and performance measurement. The role partners with Sales, Product Marketing, Product, Engineering, Revenue Operations, and People teams to improve seller productivity, technical fluency, AI Interpreter adoption, win rates, and quota attainment.

Owns an assigned territory and manages the full enterprise sales cycle, including new-logo acquisition, upselling, cross-selling, pipeline development, quota attainment, lead generation, customer relationship growth, product demonstrations with Sales Engineers, channel partner collaboration, and accurate Salesforce documentation.

Leads IT audit and internal control programs covering ITGCs, application controls, security controls, SOX, MAR, SOC reviews, cloud infrastructure, data platforms, and business systems. Supervises auditors, reviews workpapers, coordinates with external auditors, evaluates findings and remediation, maintains control frameworks, and communicates technology risks to leadership. The role also partners with engineering, IT, InfoSec, and business stakeholders on risk management and audit readiness.

Leads Yahoo’s technology internal audit program, including risk assessment, audit planning, advisory projects, testing, workpaper review, reporting, and senior stakeholder presentations. Oversees audits covering cybersecurity, identity and access, cloud security, resilience, data governance, privacy, and AI. Develops auditors, directs co-source providers, enhances AI audit capabilities, and applies analytics and automation. Partners with Technology, Security, Privacy, Engineering, SOX, GRC, and external audit teams.

Provides senior functional and technical leadership for NetSuite and connected financial systems. Partners with Finance, Accounting, and technology teams to design processes, configure NetSuite, manage integrations, protect close-cycle continuity, support production incidents, implement controls, coordinate releases, and deliver testing and documentation. The role also leads automation initiatives, vendor engagement, solution lifecycle delivery, and mentorship while supporting accounting, compliance, reporting, and multi-entity financial operations.

Lead and grow a team of Conversation Designers to build and scale conversational AI experiences. Partner with Product, Engineering, Analytics, and ML teams to drive strategy, tooling, evaluation, and quality practices. Recruit and remove roadblocks, own strategic initiatives, and remain hands-on in designing, testing, and improving AI-driven conversational products.

Leads product marketing strategy for Bask Health’s AI, data, analytics, and automation capabilities. Develops positioning, messaging, launch strategies, competitive research, technical content, sales enablement, demonstrations, and customer education. Partners with engineering, AI, data, product, sales, and customer success teams to explain complex functionality accurately, establish responsible AI terminology, support adoption, and measure product marketing performance.

Lead the architecture and hands-on development of production AI capabilities across Bask Health’s platform. Build and deploy LLM-powered applications, intelligent assistants, automation, retrieval systems, and agentic workflows. Establish standards for evaluation, reliability, security, observability, privacy, and cost management. Collaborate with product and engineering teams to prioritize impactful AI initiatives, contribute code and prototypes, review designs, mentor engineers, and guide scalable AI infrastructure and integrations.

Implement Salesforce Agentforce and Einstein AI solutions, design AI-powered service and sales workflows, configure predictive analytics and recommendation engines, and deploy conversational virtual agents. The consultant will develop intelligent automation strategies, advise clients on AI governance and adoption, conduct workshops and capability assessments, and manage stakeholder relationships throughout Salesforce AI transformations.

Leads product analytics by developing dashboards, defining KPIs, analyzing customer behavior, and delivering insights that guide product strategy and roadmap prioritization. Builds forecasts, business cases, and ROI analyses; partners cross-functionally with Product, Engineering, Customer Success, Sales, and leadership; and ensures accurate reporting and data governance. Supports predictive analytics and AI initiatives while communicating recommendations to stakeholders. This is a fully remote role requiring up to 20% travel.

Build and deliver scalable web products using Node.js, TypeScript, Vue, Temporal, Kubernetes, MongoDB, and AWS. Own feature delivery, collaborate with engineering and product teams, interface with customers, provide technical leadership, and maintain secure, reliable, compliant systems. Responsibilities include designing REST APIs, optimizing NoSQL databases, applying testing practices, and improving deployment processes. Preferred experience includes web scraping, automation, ML integrations, serverless applications, infrastructure-as-code, pipeline development, and AI-assisted workflows.

Own sales insights and analytics as the trusted source of truth for sales leadership. Build forecast reporting, predictive and machine learning models for deal outcomes, executive dashboards in Salesforce and Tableau, and actionable analyses supporting GTM strategy. Partner cross-functionally on metrics, data governance, QBRs, and strategic planning while translating complex business problems into recommendations.

Serve as a technical advisor throughout the B2B SaaS sales cycle by conducting discovery, designing solutions, delivering product demonstrations, supporting proof-of-value engagements, and addressing technical questions. Collaborate with account executives, product, engineering, and solutions consulting teams; develop demo assets and industry-specific value propositions; share customer insights; and represent Seeq at events. Focus on analytics software for oil and gas and industrial process data.

Leads customer-facing deployment of an internal AI/ML Ops platform, owning solution discovery, architecture, implementation, deployment, and adoption for MLOps and GenAI workflows. Identifies platform weaknesses and drives remediation with core engineering teams. Provides technical leadership, develops production AI/ML systems, and works across Kubernetes, GPU-backed, cloud, and on-premises environments while collaborating with customers and stakeholders.

Develops and maintains data models, machine learning solutions, analytics platforms, and automated workflows for large investigative, intelligence, financial, and business datasets. The role includes data preparation, statistical analysis, data quality monitoring, requirements gathering, solution design, stakeholder collaboration, and presenting findings to technical and non-technical audiences. Supports government mission objectives and travels to field locations approximately four times annually.

Serves as the primary technical advisor throughout federal sales and implementation cycles. Presents solutions, develops statements of work and pricing, designs analytics proof-of-concepts, translates technical concepts for varied audiences, and coordinates stakeholders and resources. Partners with product, data science, and marketing teams on innovation and thought leadership. Leads enterprise engagements, supports direct and channel sales, manages project priorities, and mentors team members.

Design and implement advanced modeling and simulation tools to evaluate system performance and support strategic decision-making for national defense. Perform quantitative analysis, develop physics-based and agent-based models, optimize AI and machine-learning algorithms, and collaborate with government clients. The role involves EO-IR and 3D simulation, computational modeling, and potentially high-performance computing, computer vision, and autonomous-system behavior development.

Develop and productionize machine learning and AI systems across document intelligence, language, vision, and multimodal applications. Design datasets, models, training pipelines, and evaluation frameworks; fine-tune foundation models; run GPU experiments; and build reusable AI capabilities. Partner with engineering and product teams on deployment, monitoring, reliability, and improvement while communicating technical tradeoffs and delivering measurable business outcomes in regulated financial services.

Leads public health informatics and enterprise data engineering for a cloud-native Databricks Lakehouse. Designs scalable pipelines, data models, integration frameworks, dashboards, data quality systems, and secure data access processes. Provides technical leadership, governance, interoperability, troubleshooting, documentation, training, and mentorship across public health programs and partner organizations. Analyzes complex datasets to support surveillance, operations, decision-making, and statewide data modernization.

Develops and maintains clinical and research bioinformatics pipelines for cancer genomics, whole-genome and exome sequencing, RNA sequencing, and custom analyses. Builds cloud infrastructure, automates data routing and processing, integrates laboratory and clinical systems, performs variant analysis and quality control, and develops algorithms and AI-enabled tools. Collaborates with clinicians, researchers, laboratory staff, and technical teams. Provides on-call support for pipeline operations and data processing.

Leads technical pre-sales for supply chain integration solutions, partnering with Sales to conduct discovery, design ERP/WMS/TMS and trading-partner architectures, run POCs, deliver demonstrations, and respond to RFPs. Advises technical and executive stakeholders on business outcomes and AI opportunities, translates capabilities into measurable ROI, and collaborates with Product, Customer Success, and Professional Services on roadmap feedback and post-sale handoffs.

Manage post-sale customer relationships, onboarding, adoption, retention, renewals, and expansion opportunities for software products. Develop success plans, monitor customer health, conduct executive and quarterly business reviews, and serve as the voice of the customer with Product, Engineering, and Sales. Advise government and defense customers on information advantage products, draft strategic documents, and present operational plans. Requires an active Secret clearance and eligibility for TS/SCI, with occasional travel.

Develop advanced statistical and machine-learning solutions for fraud and other data-intensive business problems. Translate ambiguous needs into hypotheses, experiments, models, and prototypes; shape data strategies; evaluate emerging generative and agentic AI technologies; and partner with Product, Engineering, Analytics, and business teams to operationalize solutions. The role also includes mentoring junior team members and fostering experimentation and innovation.