Top Remote Senior Level Machine Learning Jobs in San Francisco, CA
The Staff Machine Learning Engineer at Cash App's Financial Crimes Technology team will work on leveraging Generative AI and Machine Learning to detect and report illegal and suspicious activity on Cash App. Responsibilities include deploying AI copilot solutions, building classification models, and working with diverse data sets to improve agent productivity and eliminate manual decision loops.
Design, build, and enhance batch inference services and tools using Generative AI and Machine Learning to detect and prevent illegal and suspicious activity on a financial platform. Lead infrastructure development, collaborate with cross-functional teams, and drive strategic roadmaps.
As a Senior Staff Machine Learning Engineer at Liftoff, you will own and develop ML models with direct business impact, mentor team members, stay updated on latest ML research, and influence team roadmaps. Requires 10+ years of ML experience, deep neural network expertise, strong coding skills, and a degree in Machine Learning, Math, Physics or similar.
The Staff Machine Learning Scientist will be responsible for developing generative AI applications for healthcare, collaborating with cross-functional teams, conducting healthcare-focused research, and designing and implementing generative AI models for healthcare scenarios.
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As a Senior Principle Machine Learning Engineer at Atlassian, you will integrate cutting-edge AI capabilities into Atlassian products, extract knowledge and insights from data, and transform the way teams collaborate. You will craft and implement machine learning models, analyze large datasets, design robust models, collaborate with cross-functional teams, and drive AI adoption. Compensation for this role ranges from $198,400 to $318,600 per year.
Lead Machine Learning Engineer role at Grammarly, responsible for building scalable ML solutions for marketing problems, driving business impact, and collaborating with cross-functional teams.
Building an MLOps platform to support machine learning training, process automation, model deployment, and monitoring. Collaborating with Data Engineers, DevOps Engineers, and Research Scientists to ensure efficient model training and deployment processes.
Lead and oversee ML projects from planning to delivery, drive the long-term vision of the team, and collaborate with cross-functional teams to produce high-quality software artifacts.
Manager of Machine Learning Engineering role at Samsara, responsible for building and managing teams applying computer vision and machine learning to recognize and surface events for customers. Fully remote position in the US and Canada, impacting industries that run the world and building scalable solutions for global customers.
Design, build, evaluate, deploy and iterate on large scale Machine Learning systems. Understand and optimize the user experience at all stages of the user journey. Work with Product, Design, Infra, and Frontend teams to bring models and features to life. Evaluate the performance of machine learning systems against business objectives.
Design and build ML architectures and data pipelines for large-scale data repositories. Work on Clari's AI models and platform. Collaborate with stakeholders to deliver enterprise products. Fully remote opportunity in the United States.
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