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Top Remote Machine Learning Jobs in Washington DC,
The Senior ML Engineer will develop scalable machine learning platforms for marketing optimization. Responsibilities include collaborating across teams, designing ML systems, improving best practices, and driving business value through advanced analytics and insights from data. The role requires strong technical leadership and stakeholder management skills.
The Senior Data Product Manager will lead the development of a data analytics product, set product strategy, collaborate with engineering and data science teams, and optimize insights for manufacturing processes. Responsible for managing product features and ensuring timely delivery while integrating diverse data sources.
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.
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As a Principal/Senior Software Engineer at eClinical Solutions, you will develop and optimize AI/ML integrations for the elluminate platform, enhancing data aggregation and analytics in clinical trials. Responsibilities include designing workflows, collaborating with data science teams, participating in the software development lifecycle, and mentoring junior engineers.
As a Senior Machine Learning Engineer at Wasabi, you will develop and refine computer vision algorithms and NLP models while leading AI advancements in a team-oriented environment. Responsibilities include collaborating across teams, optimizing machine learning models, and ensuring reliable implementation and maintenance of AI systems.
The Samsara ML Experience team is looking for an Applied Scientist to develop ML solutions that enhance the safety, efficiency, and sustainability of physical operations. Responsibilities include driving new ML initiatives, staying connected to industry and academic research, designing and optimizing services, and championing Samsara's cultural principles.
As a Principal ML Infrastructure Engineer, you will define and drive the technical vision for Thumbtack's ML infrastructure, lead cross-functional initiatives, architect scalable ML systems, establish engineering standards, mentor teams, and align infrastructure capabilities with business objectives.
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 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 AI Scientist will collaborate with subject matter experts to develop AI solutions, oversee data management, and mentor Data Scientists. Responsibilities include designing and deploying advanced AI solutions, ensuring high-quality data access, and fostering a culture of continuous learning within the team.
Top remote Companies in Washington DC, Hiring Data + Analytics Roles
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