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Top Remote Machine Learning Jobs in Washington DC,
As a Staff Machine Learning Engineer, you will lead the development of scalable ML products for marketing experimentation and optimization, collaborating with cross-functional teams. Responsibilities include designing ML platforms, providing technical leadership, enhancing best practices, and ensuring high-quality delivery while strategically managing a team to optimize ROI for stakeholders.
As a Principal Software Engineer in AI/ML Integrations, you will design, develop, and deploy AI & ML integration pipelines within the elluminate platform. Collaborate with data science teams to streamline data management and analytics for clinical trials, while ensuring scalability, performance, and security. Contribute to architectural decisions and mentor junior engineers in a collaborative environment.
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The Senior Machine Learning Engineer at Wasabi will advance AI technologies, develop computer vision algorithms, and implement NLP model fine-tuning. This role involves collaborating with teams for seamless machine learning integration, conducting testing, debugging, and ensuring reliable system operations.
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As a Machine Learning Engineer, you will develop ML solutions to enhance safety and efficiency in physical operations. You will work with cross-functional teams to build core infrastructure and services, design ML applications, and contribute to novel technology adoption.
As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.
The Senior Staff Scientist will lead the development of hybrid AI applications optimized for various platforms, collaborate with teams to integrate quantum algorithms, and foster client relationships while representing the company at conferences. The role also includes discovering new algorithms and developing core intellectual property in quantum computing.
As a Machine Learning Engineer, you will enhance our content recommender system, create machine-learning features, build and deploy models, and work collaboratively with data engineers and other teams to improve performance and gather insights into customer behavior.
As a Senior Machine Learning & Computer Vision Engineer at Dandy, you will build advanced models for 3D scans, research state-of-the-art methods for generative deep learning, and collaborate with cross-functional teams to enhance product offerings. Your role involves working with large datasets, implementing MLOps best practices, and innovating new solutions in a growing team environment.
The Staff ML Infrastructure Engineer will be responsible for defining the technical vision and architecture for Thumbtack's machine learning infrastructure, leading cross-functional teams, and establishing best practices. The role includes mentoring, strategic decision-making, and aligning ML capabilities with business goals, all to support the company's AI-first approach.
You will lead a team to innovate in natural language processing, big data, and artificial intelligence, creating technologies that change digital interaction. This role demands creativity, strong collaboration skills, and the ability to develop prototypes rapidly.
Top remote Companies in Washington DC, Hiring Data + Analytics Roles
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