Top Machine Learning Jobs in Washington DC

A Machine Learning Engineer responsible for developing production machine learning algorithms and recommendation systems, collaborating with Data Scientists and Product Managers, and evaluating user experiences and ML algorithms.

Join Arity as a Machine Learning Scientist to work on building scalable distributed machine learning models for analyzing geospatial data and creating innovative insights. Collaborate with a cross-functional team to enhance transportation safety and efficiency through data-driven solutions.

The Staff Machine Learning Engineer role at Cruise involves driving applied ML research and development for urban roads related to Perception and Object Tracking. Responsibilities include exploring new algorithms, optimizing on-road performance, guiding technology choices, and enabling team members. Required qualifications include a PhD/MS degree in computer vision or machine learning, experience in deep learning projects, programming skills in Python and/or C++, expertise in ML frameworks, strong communication skills, and the ability to design scalable architectures.

Join Altice USA's Data Science team as a Machine Learning Engineer to deliver AI applications for various business units. Work on end-to-end solutions leveraging AI and ML principles, consult with stakeholders, analyze data, manage projects, share insights, and stay updated with industry trends.

As a Principal Data Scientist at Capital One, you will be part of the Emerging ML team focusing on research and development of new AI technologies. Responsibilities include building machine learning models, partnering with business teams, and analyzing numerical and textual data.

Seeking a highly motivated Senior Staff Machine Learning Engineer to join Taskrabbit's team and contribute to shaping the future of ML/AI. Responsibilities include designing, developing, and deploying advanced ML models, collaborating cross-functionally on ML projects, and working on modern search platforms using NLP and graph analysis.

Design, develop, and program methods, processes, and systems to analyze big data sources and generate actionable insights. Collaborate with product and service teams to identify questions and issues for data analysis and experiments. Develop software programs, algorithms, and automated processes to cleanse and evaluate large datasets. Communicate insights and findings to stakeholders.