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Top Machine Learning Jobs in San Francisco Bay Area, CA
As a Principal Data Scientist at Capital One, you'll lead data science projects, develop machine learning models, analyze customer behavior through vast datasets, and collaborate with product and engineering teams to enhance digital customer experiences and combat fraud.
The role involves developing and implementing machine learning solutions for churn risk assessment, product recommendations, and customer engagement. The candidate will lead cross-functional projects, advocate for best practices, and collaborate with stakeholders for ML strategy execution.
As a Senior Machine Learning Engineer, you will collaborate with product and marketing teams to enhance customer experiences through personalized machine learning models. You will oversee various personalization ML projects, utilizing advanced algorithms on large datasets to drive engagement and revenue for Cash App.
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The Staff Machine Learning Engineer will integrate ML solutions to assess customer cash flow risk, support multiple products, and enhance automated decision-making using AI/ML within Cash App's Underwriting and Credit team. The role involves experimenting with modeling techniques on customer data and collaborating with cross-functional teams to drive growth.
As a Senior Data Scientist at Roblox, you will support vertical data science teams in experiment design and analysis, develop scalable solutions for measuring ecosystem health, and enhance analytic operations to streamline experimentation. You will collaborate extensively within data science and with cross-functional teams to solve complex business problems and implement innovative methodologies.
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As a Senior Machine Learning Engineer, you'll develop and implement advanced machine learning algorithms, train models, collaborate with product and engineering teams, and guide junior engineers, ensuring AI integration across Atlassian products with a focus on practical applications and efficiency.
As a Senior Machine Learning Quality Engineer at ServiceNow, you will design and review test automation frameworks for machine learning models, work with ML engineers to address functional requirements, establish metrics for test effectiveness, and create comprehensive test plans. Collaboration with both technical and non-technical team members is essential to ensure quality in AI and ML applications.
As a Senior AI Engineer, you will design, implement, and maintain large-scale AI/ML pipelines, focusing on training and tuning deep learning models and evaluating their performance. Responsibilities include data collection design, feature engineering, and building evaluation frameworks.
The Executive Director for Applied AI/ML will lead a team to address business challenges for JPMorgan's Global Banking sector, driving AI technology innovations. Responsibilities include setting a strategic vision, guiding project execution, collaborating with stakeholders, and fostering a high-performance culture within the team.
As a Senior Machine Learning Engineer at Samsara, you will develop ML solutions to enhance the safety, efficiency, and sustainability of physical operations. You will collaborate with engineering teams and cross-functional partners to deliver core infrastructure and optimize services across the ML pipeline.
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