Top Remote Senior Machine Learning Jobs in San Francisco Bay Area, CA
As a Senior Machine Learning Engineer, you will develop high-quality machine learning models that assess creditworthiness and collaborate with engineering teams to build decisioning systems. You will research innovative solutions and implement data pipelines essential for production models, contributing to Affirm's credit landscape.
As a Staff Machine Learning Engineer for Conversational AI at Square, you will lead machine learning projects, focusing on creating intelligent solutions across products. Responsibilities include collaborating with stakeholders, driving end-to-end ML projects, mentoring team members, and ensuring engineering quality.
The Senior Machine Learning Modeler will develop scalable solutions for detecting and preventing financial crimes by leveraging machine learning. Responsibilities include building machine learning solutions, collaborating with stakeholders, producing regulatory documents, and identifying future needs. The role requires experience in software engineering and machine learning, with an emphasis on continuous learning and improving team culture.
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As a Principal Machine Learning Engineer at Atlassian, you will lead the development of advanced machine learning algorithms, work with diverse teams to integrate AI capabilities into products, design architectures, conduct experiments, and mentor junior engineers, thereby enhancing AI functionalities across the platform.
As a Senior Machine Learning Engineer at Samsara, you will develop ML solutions to enhance the safety, efficiency, and sustainability of physical operations. You will collaborate with engineering teams and cross-functional partners to deliver core infrastructure and optimize services across the ML pipeline.
In this role, you will develop an AI/ML strategy to enhance customer support at Canva, lead the creation of natural language systems, collaborate with engineering teams, and leverage machine learning capabilities across the organization.
As a Senior Software Engineer on the ML Platform team, you'll build and maintain software applications for machine learning model deployment and process automation. The role includes developing tooling and infrastructure for research scientists, enabling rapid model experimentation, and ensuring automated, repeatable processes for model training and deployment.
The Senior Machine Learning Engineer will work on the Perception and Prediction team to enhance autonomous vehicle capabilities. Responsibilities include defining team direction, architecting solutions, prototyping, deploying solutions, and collaborating with team members while mentoring junior engineers in a cutting-edge environment.
As a Staff Machine Learning Engineer, you will develop content understanding signals and horizontal knowledge graphs to enhance recommendation systems. Your role involves leveraging advanced machine learning and natural language processing techniques, collaborating with cross-functional teams, and driving tech strategies to solve complex challenges.
The Staff Machine Learning Engineer will lead efforts in developing and optimizing machine learning models for content delivery and user engagement at Reddit. Responsibilities include designing algorithms, managing technical roadmaps, collaborating with cross-functional teams, and mentoring junior engineers. The role requires a deep understanding of recommendation systems and large-scale machine learning infrastructure.
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