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Top Remote Machine Learning Jobs in Orlando, FL
As a Senior Machine Learning Engineer at Wasabi, you'll drive AI advancements, design and implement ML solutions including computer vision and NLP, and collaborate across teams to integrate machine learning capabilities. The role involves testing and debugging ML models to ensure quality and reliability.
As a Senior Machine Learning Engineer at Samsara, you'll develop ML solutions for physical operations, driving new initiatives and optimizing systems. Collaborate with engineering teams to create end-to-end ML applications while influencing industry practices and contributing to company culture.
As a Senior Backend Engineer focusing on the Machine Learning Platform, you will design and maintain scalable AI solutions, develop distributed systems, collaborate with product and engineering teams, and integrate AI innovations into product development.
The Senior Staff Scientist at IonQ will lead the development of quantum AI solutions, conduct research to discover new algorithms, and optimize hybrid applications on quantum computers. The role involves collaboration with PhD scientists and various teams while shaping long-term strategies for quantum AI application deployment.
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.
The Data Scientist III (ML Engineering) will develop and optimize machine learning solutions to improve Cedar’s healthcare platform. Responsibilities include deep data analysis, building pipelines, collaborating with engineering teams, and evaluating model performance to enhance patient experiences.
As a Senior Machine Learning Engineer at TextUs, you will design data pipelines, build machine learning models, and collaborate with cross-functional teams to integrate ML capabilities into products. Your role will involve developing algorithms, optimizing data processes, and sharing insights on AI advancements to promote data-driven decision-making.
The Senior Engineer, Machine Learning will collaborate with business teams to design and implement AI solutions. Responsibilities include algorithm development, data processing, infrastructure design, model training, and deployment. The role necessitates technical leadership, mentorship, and staying current with AI trends.
As a Senior Machine Learning Engineer, you will design and develop machine learning applications, conduct experiments, collaborate with engineers, engage with clients, and mentor teams while staying updated on advancements in the field.
The Principal AI Research Scientist will drive innovative AI research and product vision, manage R&D projects, and lead proposal writing. Responsibilities include conducting research in machine learning, collaborating with teams, developing algorithms for multi-modal data, and ensuring product relevance for a growing customer base.
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