Top Machine Learning Jobs in Washington, DC

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

Manage the product roadmap for Nitra, define strategies, collaborate with teams, monitor trends, and ensure product quality and customer satisfaction.

Lead AI/ML product strategy and execution. Manage PM team, define product vision and success metrics, ensure compliance, and represent Workiva externally.

As a Machine Learning Platform Engineer, you will enhance ML infrastructure, optimize data pipelines, and support ML model performance, addressing user needs and maintaining high-quality code.

The Senior Machine Learning Engineer will develop AI workflows, collaborate with teams on models and pipelines, conduct research, mentor junior members, and innovate solutions for healthcare.

Lead and manage a team of machine learning engineers to develop AI-driven tools for clinicians, ensuring project success and team growth.

The role involves architecting and managing hybrid infrastructure for AI/ML, focusing on Kubernetes, AWS, and Infrastructure-as-Code practices.

As a Senior Machine Learning Engineer, you will develop scalable ML solutions, collaborate with teams, optimize models, and implement best practices for deployments and infrastructures.

The Customer Success Manager will advocate for customers, manage project requirements, lead onboarding, ensure renewals, and demonstrate product value while collaborating with sales and engineering teams.

Responsible for building globally distributed ML ecosystems, developing data pipelines, implementing microservices, and collaborating across teams to enhance machine learning technologies.

Develop and productionize a next-gen Dispatch System, build ML models, automate processes, and collaborate with various teams while mentoring other engineers.

The Principal Product Manager will oversee AI/ML initiatives, drive product development, translate strategy into technical specs, and manage product lifecycle.

Design and deploy machine learning algorithms, develop production systems, and collaborate with stakeholders to align ML solutions with business objectives.

The Senior Machine Learning Engineer will architect advanced agent-driven ML systems, oversee development and deployment, and ensure cross-team collaboration. Responsibilities include automation, system monitoring, and compliance oversight.

The Lead Product Manager will drive the personalization strategy for Scribd's platform, overseeing recommendations, metrics, and algorithm integrations while collaborating with cross-functional teams to enhance user engagement.

Design and develop edge AI firmware for camera systems, ensuring accurate AI algorithms, collaborating on architecture, and mentoring engineers.

The Product Manager will develop AI-driven experiences to enhance member engagement in a healthcare setting, collaborating with multiple teams and setting strategic goals.

The Product Manager will lead AI-driven product development, focusing on enhancing healthcare experiences and ensuring customer engagement through innovative design and strategic partnerships.

As a Revenue Strategist, you will drive revenue management strategies for hospitality clients, focusing on data analysis and customer success to enhance outcomes and ROI.

Lead pre-sales technical engagements for Conversational and Generative AI solutions, collaborate across teams, and design value-driven demos for enterprise customers.

The Sr. Director will oversee the development of credit strategies and statistical models to optimize approval rates, monitor portfolio performance, and ensure compliance with risk appetite for various financial products.

Lead a team of ML engineers to develop advanced personalization systems, ensuring technical excellence, system reliability, and effective project delivery while mentoring engineers.

The Senior Applications Engineer will work with research teams globally to adopt GenAI software, optimizing AI models, and providing engineering feedback on improvements for scientific research.

Lead the Agentic AI Pod to develop AI solutions for event marketers, creating strategies and innovative interaction paradigms while ensuring standard practices in AI implementation.

Lead the IRS Development program by managing IT systems and implementing technology advancements that enhance operational efficiency and compliance.