Top Machine Learning Jobs in Washington, DC

The Group Data Science Strategist will lead product vision and execution related to cybersecurity threats and generative AI, managing assessment requirements and roadmaps while prioritizing strategic outcomes.

The Senior Director of Engineering Operations will lead a team, drive operational excellence, manage engineering tools, and ensure compliance with security policies while overseeing strategic programs and vendor relationships.

Lead applied science initiatives by architecting and deploying machine learning models, analyzing data, mentoring team members, and collaborating cross-functionally to enhance marketing effectiveness.

Lead development of Fleet Foundations platform, manage engineering team, ensure data consistency, and enhance system scalability.

As a Machine Learning Engineer, you will enhance ML productivity, design algorithms, and collaborate cross-functionally to improve credit underwriting models.

The Senior Director will lead a data science team, drive data-informed decision-making, and create a strong analytical culture within the organization.

As a Senior Data Scientist, you will build models, provide mentorship, and develop techniques to optimize user experiences and drive business value.

Develop and operate Machine Learning models and pipelines, work with blockchain and AI technologies, and solve new use cases for ML.

The Engineering Manager leads the Search Relevance team, focusing on machine learning to enhance patient care delivery, ensuring high-quality software solutions and fostering a collaborative team culture.

As Lead ML Engineer, you will guide ML/AI engineering teams, drive product innovation, mentor engineers, and set technical goals for Meraki Assurance.

Lead the Machine Learning team to develop computer vision models, manage datasets, and implement MLOps best practices while guiding team growth.

The VP of RCM Optimization & Strategy leads initiatives to enhance mid-revenue processes, drives innovation, and optimizes operations while collaborating with clients and internal teams.

Halter invites candidates to join a talent pool for future roles across various fields, emphasizing personal growth and an inclusive workplace.

Lead strategic execution of the Voice AI Foundations research program. Manage research initiatives, build infrastructure, and optimize workflows while ensuring alignment with company goals.

Lead the QA engineering team, drive testing strategies, implement automation tools, mentor staff, and ensure high-quality products in collaboration with multiple teams.

As a Distinguished Engineer, you will drive technical excellence in Upstart's Pricing team, optimizing loan offer systems using AI and ML, guiding architectural evolution, and mentoring other engineers.

As a Distinguished Engineer, you will lead engineering efforts for the Personalization Platform, advocating technical strategies, mentoring engineers, and facilitating cross-functional collaborations to optimize machine learning solutions across Capital One's financial products.