Top Machine Learning Jobs in St. Louis, MO
As a Machine Learning co-op, you'll work on developing and deploying machine learning algorithms to automate administrative clinical practices. You'll be part of an agile team, contributing to feature design, testing, and delivery of ML models, while collaborating with various stakeholders.
As a Senior Machine Learning Engineer, you will design, build, evaluate, and iterate on large scale machine learning systems, collaborating with cross-functional teams to enhance user experiences at Dropbox. Your work will directly impact the product and its millions of users, utilizing cutting-edge AI/ML advancements.
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.
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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 Machine Learning Engineer at Liftoff will develop and train algorithms for real-time bidding, analyze inventory performance, and oversee experiments for optimization strategies. The role involves enhancing existing ML infrastructure, collaborating with engineering teams on data pipelines, and fostering a culture of engineering excellence.
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 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 the Manager of Machine Learning at Upstart, you will lead a team focused on enhancing credit risk models for Small Dollar Lending products. Your role involves applying cutting-edge machine learning techniques, identifying new performance-enhancing variables, and ensuring the success of loan originations in this sector.
As an AI and ML Consultant, you will lead and deliver AI/ML projects, enhancing customer experiences and operational efficiency for clients. This role involves consulting services, project management, and collaboration between technical and business teams, ensuring successful deployment of AI/ML solutions within an Agile framework.
As a Senior Machine Learning Engineer, you will design, develop, and deploy machine learning solutions for logistics challenges, collaborating with team members and stakeholders to enhance operational efficiency in the marketplace.
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