Top Machine Learning Jobs in San Francisco Bay Area
Senior Machine Learning Modeler role at Cash App's Financial Crimes Technology team. Responsibilities include detecting and reporting illegal and suspicious activity, building classification models, leveraging diverse data sets, deploying AI solutions, and collaborating with cross-functional stakeholders. Requires 4+ years of ML modeling experience and a Bachelor's degree in a related technical field.
Lead the development of AI and Machine Learning solutions to enhance user experience and workflow efficiency for enterprise services at ServiceNow. Collaborate with a team to build and implement cutting-edge AI/ML solutions for enterprise customers globally. Responsible for data acquisition, evaluation metrics, and driving software quality and performance at scale.
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Seeking a Senior Machine Learning Engineering Manager to lead a team in creating and deploying cutting-edge machine learning models and algorithms. Responsible for AI modeling training, development of ML algorithms, and providing engineering support to accelerate AI feature development. Remote position based on the west coast of the United States.
Featured Jobs
As a Machine Learning Engineer on the Marketing Technology team, you will transform the way marketing is done at Grammarly. You will improve data-driven decision-making, enhance customer experiences, and optimize marketing campaigns.
Build and enhance AI models for Gusto's customers. Develop natural-language interface and improve LLM models. Collaborate with infrastructure teams and research novel AI techniques. Minimum 6 years of software engineering experience.
Design and implement cutting-edge machine learning algorithms for multimodal data to shape the future of AI-driven creation at Roblox
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.
As a Machine Learning Engineer on the Banking & SFS team at Block, you will support Data Scientists in building and deploying machine learning models for banking and lending products. This role involves implementing modeling approaches, utilizing data science techniques, and collaborating with cross-functional teams.
Develop ML solutions to increase the safety, efficiency, and sustainability of physical operations at Samsara. Collaborate with engineering teams across ML, full-stack, and firmware to deliver core infrastructure and optimizations.
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.
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