Top Machine Learning Jobs in Washington, DC

The Senior Project Manager oversees project delivery for federal IT modernization, managing risks, stakeholders, and agile software teams while ensuring compliance and quality assurance.

The Business Analyst will bridge FMCSA stakeholders and delivery teams, documenting processes, creating user stories, and conducting testing within a hybrid Agile framework.

Lead day-to-day operations and strategic execution for the IRS Cybersecurity Fraud Analytics and Monitoring program, managing multidisciplinary teams and coordinating stakeholder engagement and response activities.

The Customer Success Manager advocates for customer needs, manages requirements, trains users, builds relationships, and collaborates with teams to ensure satisfaction and renewals.

The Senior Software Engineer will design and optimize recommendation algorithms, maintain data pipelines, and improve personalized user experiences using machine learning techniques and backend engineering skills.

As Head of Marketing, you'll coordinate marketing efforts, develop messaging strategies, manage outbound campaigns, and create branding collateral for Citian.

MAXISIQ seeks experienced IT and Cybersecurity professionals for roles in Systems Administration, Network Engineering, and Software Development. Candidates should have relevant certifications and clearances.

Design and deploy ML solutions for clinical data, collaborating with cross-functional teams to translate healthcare challenges into scalable systems. Maintain reusable codebases and provide guidance to junior engineers.

As a Senior Staff Machine Learning Engineer at Affirm, you will lead complex ML system design and implementation, mentor engineers, and drive innovative ML strategies for financial services.

As a Software Engineer II, you'll develop backend systems, support ML platform features, collaborate across teams, and ensure system availability.

Develop ML/RL models and infrastructure for AV simulations, optimize training loops, and support project timelines in autonomous vehicle tech.

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

The Principal Product Manager will design and lead AI-driven systems for pricing intelligence, financial reconciliation, and supplier performance reporting in the travel sector, collaborating with data science and engineering teams.

As an Analytic Methodologist, you will lead analytics projects, develop and evaluate methodologies, and support the Department of Defense with your expertise in data science, knowledge graphs, and ontologies.

The Consultant advises clients on antitrust compliance using advanced analytics. They develop AI models, consult on workflows, and mentor colleagues while managing multiple projects and ensuring successful outcomes.

The job involves selling AI and Machine Learning technologies to mortgage companies, managing the sales process for enterprise customers, and working with remote teams.

The Staff Machine Learning Engineer will lead AI initiatives, architect LLM systems, design evaluation frameworks, and mentor engineers.

The Senior Account Executive will develop relationships with utility clients, lead sales initiatives, negotiate contracts, and maintain sales activities in Hubspot to achieve sales targets.

The Enterprise Account Executive will drive revenue by engaging with enterprise insurance clients, managing the sales cycle, and fostering strategic relationships with executives, leveraging Vellum's data analytics platform.

Manage technical programs for generative AI video models, translating research into milestones, coordinating teams, and ensuring successful execution across all phases.

Develop and scale machine learning training systems for robotics data, optimize training pipelines, and collaborate with ML researchers to enhance autonomy models.

The Data & Analytics team at Surescripts transforms healthcare data into actionable insights, collaborating with various stakeholders to support critical decisions across the healthcare ecosystem.

Lead program delivery for engineering teams at Arine, optimizing internal processes and ensuring timely execution of technical programs while facilitating Agile methodologies.

The ServiceNow AI Engineer will design and develop AI-driven applications on the ServiceNow platform, integrating machine learning and NLP solutions, managing application development processes, and supporting ServiceNow implementations.

Lead complex cybersecurity engagements and develop AI-powered platforms for offensive security. Provide strategic consulting to clients and enhance security measures.