Top Machine Learning Jobs in Washington, DC

Manage and administer mission assurance databases; ensure data integrity, security, availability, and performance. Collect, normalize, govern, and analyze assessment data; integrate with government MA repositories, mission mapping, and risk management. Identify trends, vulnerabilities, and cross-mission risk drivers. Support enterprise data stewardship and apply advanced analytics including AI/ML to enable Mission Assurance assessments and decision-making.

Analyze historical demand, occupancy, transactions and competitor pricing to optimize daily, monthly, and event pricing. Build dashboards, deliver revenue insights to leadership, and collaborate with Operations and Marketing to implement pricing and promotional strategies while maintaining data integrity.

The Senior Staff Machine Learning Scientist will lead research initiatives in computer vision and multimodal understanding, develop novel models, and translate research into practical applications while mentoring team members.

The role involves advising clients on AI strategy, designing AI solutions, and leading change management efforts. This includes governance, training, and client engagement while mentoring junior team members.

As an Enterprise Account Executive at Salesforce, you will drive revenue growth by leveraging AI-driven solutions, understanding client needs, and demonstrating how Agentforce can solve business challenges while fostering client relationships.

Lead the Data + ML Platform team to design, build, and operate scalable data and MLOps infrastructure. Drive platform strategy, enable ML experimentation-to-production workflows (model registry, feature stores, drift monitoring, experiment tracking), modernize streaming and batch pipelines, and scale the team while partnering cross-functionally to deliver measurable outcomes.

Provide legal advice and governance for firm-wide AI initiatives, partnering with IT, security, procurement, and business teams. Advise on data use, privacy, IP, confidentiality, vendor contracts, and regulatory developments; develop policies, training, and standards to enable responsible AI adoption and mitigate operational, legal, and reputational risk.

Lead cross-functional strategic projects, build quantitative models and dashboards to track KPIs, align technical and commercial teams, audit and design scalable operational workflows, and synthesize technical and financial data into leadership-level presentations.

AVIA seeks experts in Digital Health and AI for advisory roles to support healthcare systems' technological transformations as part-time, project-based consultants.

As an AI Engineer, you'll work closely with customers to understand their needs, train and deploy models, and build scalable AI systems.

This role involves designing, deploying, and maintaining machine learning and AI models in production, managing ML pipelines, and ensuring system reliability and performance.

The AI Developer is responsible for designing and deploying AI solutions, including autonomous agents and predictive models, and integrating them into business operations.

The Machine Learning Engineer will develop editable visuals combining computer vision and machine learning, enabling chat-driven figure editing and leveraging biological understanding to produce accurate visuals.

The Senior Product Architect will design security products, collaborating with product management and engineering teams, focusing on architecture and functionality for high-level product features.

The Product Marketing Manager will execute product launches and support go-to-market initiatives, collaborating with cross-functional teams to develop and deliver messaging and enablement materials targeting both technical and business stakeholders.

Lead data quality and data management for oncology studies, overseeing DM teams, vendor/CRO management, and compliance with CDISC/ICH-GCP. Develop risk management, integrate and surveil multi-source data, advise stakeholders on data collection and standards, produce metrics and dashboards, manage project resourcing and finances, review contracts, and deliver training to ensure high-quality, regulatory-compliant clinical and real-world data.

The Senior Product Manager will lead product initiatives, manage the product lifecycle, and ensure solutions meet customer needs while driving market growth and achieving KPIs.

Lead and scale full-stack engineering teams for Yahoo Mail; define engineering vision and roadmap; drive AI-native development and AI transformation using Generative AI/LLMs and agents; partner with Product, Design, and Data Science to deliver scalable cloud-native mobile and web experiences; hire, mentor, and retain engineering talent while guiding architecture, technical reviews, and platform modernization.

Designs and operates telemetry data flows for AI/ML model serving across classified enclaves. Normalizes telemetry for Prometheus/Grafana/Elasticsearch/Splunk, implements schema/serialization conventions, builds routing with Kafka/Kinesis, collaborates with DevSecOps and cyber teams, and produces dashboards, data quality checks, anomaly detection, and runbooks.

Lead a large, mission-critical program delivering DevSecOps, platform engineering, observability, FinOps, and AI services across multiple classification domains. Serve as primary customer interface, own P&L and financial performance, drive Agile delivery and technical execution, manage a large cleared workforce, ensure compliance and security, and pursue innovation and program growth.

Lead federal engagements to design compliant AI/NLP and RAG knowledge-management solutions. Develop integrations, influence product strategy, build relationships with agency leaders, support sales, and produce federal-focused technical materials.

Design and deliver integrated software solutions, configure and customize applications, lead small teams, create technical documentation, advise customers on architecture and implementation, support deployments and training, gather functional requirements, and collaborate with product and development teams to drive continuous improvement.

Lead design and implementation of Power Platform solutions to modernize legacy civil engineering and logistics applications. Integrate and redesign workflows, support application and database modernization, build dashboards and automated workflows, implement automation and machine learning, and provide mission-critical sustainment support for capital project prioritization and supplemental appropriation programs. Onsite at Washington, D.C.

As a Cybersecurity Expert, you'll lead the establishment of a SOC, manage cyber operations, and collaborate on security solutions, focusing on compliance and technical mentorship.

The Staff Machine Learning Engineer will design and build scalable ML systems, mentor engineers, and drive AI strategy at SailPoint, focusing on AI-powered identity security solutions.