Top Remote Machine Learning Jobs in San Francisco Bay Area
Design, build, and manage distributed services and pipelines for underwriting and credit at Cash App. Lead cross-functional projects, maintain code quality, collaborate with teams, and contribute to the growth of development capabilities through mentoring.
As a Senior Engineering Manager of Machine Learning at Dropbox, you will lead a team of engineers to build and scale Dash, one of Dropbox's AI offerings. Your responsibilities include driving product monetization, fostering a collaborative culture, providing strategic direction, and contributing to technical and product strategies. The ideal candidate has a strong background in software engineering, distributed systems, and backend infrastructure, as well as experience in machine learning. This is a senior-level position requiring 7+ years of software engineering experience and at least 3+ years in direct management roles.
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.
Featured Jobs
Senior ML Engineer role at Grammarly's On-Device ML team, responsible for proposing, designing, and implementing strategic features using machine learning models in an on-device context. Collaborate with core product teams, launch and monitor ML models, and leverage academic research to advance technology.
Seeking an ML Engineer specializing in constructing and managing robust, scalable, and high-performance compute platforms tailored for ML workflows. Responsibilities include designing core platform backend software components, working on large-scale initiatives, and participating in open source projects.
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Seeking a Senior Machine Learning Engineer to contribute to shaping the future of ML/AI at TaskRabbit. Responsible for building scalable ML infrastructure, pipelines, monitoring services, and collaborating with engineering teams. Requires 3+ years of experience and expertise in Python.
Designs, develops, and programs methods and systems to analyze big data sources and generate insights and solutions. Interacts with teams to identify data analysis questions and issues. Cleanses and integrates large datasets from multiple sources. Identifies meaningful insights and communicates findings to managers.
Lead Machine Learning Engineer role at GoodRx, responsible for developing and implementing analytical capabilities, building machine learning models, and overseeing technology projects. Requires 7+ years of experience and a Master's degree in a related field.
Senior Software Engineer focused on ML Infrastructure at Thumbtack responsible for centralizing, standardizing, and evolving machine learning infrastructure capabilities for teams across engineering. Collaborates with engineers, applied scientists, and product managers to refine and execute on shared vision for generative AI, feature platforms, model deployment, and model monitoring.
As a Machine Learning Engineer at Liftoff, you will own ML models that have a direct business impact, adopt new technologies for training and serving ML models, mentor team members, monitor latest ML research, and influence team roadmaps. Requirements include 8+ years of ML experience, strong engineering skills, and a degree in Machine Learning, Math, Physics or similar.
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