Top Remote Machine Learning Jobs in San Francisco Bay Area
Seeking a Senior Machine Learning Engineer with expertise in attribution space to expand Square's measurement system. Responsibilities include building data science and ML solutions, partnering with stakeholders, and staying updated on advancements in machine learning.
Senior Machine Learning Engineer role at Square's Measurement Machine Learning team. Responsible for developing cutting-edge ML models, building data science solutions, and collaborating with stakeholders for growth strategy and investment decisions.
Develop and improve machine learning models for customer support experiences, utilizing state-of-the-art algorithms and large language models. Collaborate with cross-functional teams to meet business needs and monitor model performance for continuous improvement.
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As an Applied Machine Learning engineer at Atlassian, you will work on the development and implementation of cutting-edge machine learning algorithms, training models, and collaborating with product, engineering, and analytics teams to integrate AI functionalities into Atlassian products. Responsibilities include designing system and model architectures, conducting model evaluations, and applying AI/ML to improve Atlassian products.
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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.
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.
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