Top Remote Machine Learning Jobs in San Francisco Bay Area
Join Square's Measurement Machine Learning team as a senior Machine Learning Engineer to develop cutting-edge ML models and algorithms for strategic decision-making. Work on data-driven attribution solutions and collaborate with various stakeholders to refine growth strategies.
As a Machine Learning Engineer on the Embeddings team at Liftoff, you will have end-to-end ownership of ML models, adopt or build new technologies for training and serving ML models, mentor team members, monitor latest ML research, and influence the roadmap for your team.
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.
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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.
Develop ML solutions to increase safety, efficiency, and sustainability of physical operations. Collaborate with engineering teams to deliver core infrastructure and optimizations. Impact industries like agriculture, construction, transportation, and manufacturing.
Lead a team of Machine Learning Engineers in developing ML solutions across marketing, product, and operations. Collaborate with cross-functional teams to build machine-learning based systems and guide strategic decisions in machine learning and data use.
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.
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.
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