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Top Machine Learning Jobs in San Francisco, CA
As an Applied AI Scientist, you will develop advanced algorithms for complex problems, execute statistical techniques on large datasets to identify trends, evaluate new datasets and technologies, and contribute to the firm's thought leadership through research and publications.
As a Machine Learning Engineer at ZS, you will build model pipelines, scale algorithms for massive datasets, enhance ML engineering platforms, and implement ML Ops. You will collaborate with client teams, ensure code quality, and contribute to evaluating the latest technologies in machine learning.
The Sr Manager, Machine Learning Platform leads the Model Engineering team to build and deploy ML models in a production environment, focusing on infrastructure excellence, technical direction, stakeholder collaboration, and team mentorship in an Agile setting.
As a Senior Director of Technical Program Management at Capital One, you will lead initiatives enhancing data management and machine learning capabilities. You will oversee complex technical projects, ensure delivery of solutions, and foster collaboration across teams. Your role involves shaping TPM practices while aligning projects with business objectives and mitigating technical risks.
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As a hands-on Data Science Manager, you will lead a team to develop advanced machine learning models focused on credit risk and lending. You will oversee the deployment of innovative solutions, collaborating across departments to enhance financial inclusivity and improve credit assessment accuracy, while managing a cross-functional team and driving strategic initiatives.
The Senior Machine Learning Engineer will collaborate with product and marketing teams to personalize customer interactions on Cash App, building and deploying machine learning models within the personalization domain. They will manage projects related to recommendations, search retrieval, and cross-selling, aiming to improve user engagement and revenue.
The Senior Machine Learning Engineer will build and deploy machine learning models for personalizing customer interactions in Cash App, partnering with product and marketing teams to enhance growth and engagement. Responsibilities include working with various ML algorithms and data analysis techniques to improve customer experiences.
The Senior Staff AI Software Engineer will develop AI applications for Gusto that enhance operational efficiency for small businesses. Responsibilities include building applications, collaborating with Gusto's co-founder on code deployment, and mentoring junior engineers.
As a Senior Software Engineer in Machine Learning, you will design and develop scalable recommendation systems, preprocess data for user profiles, deploy machine learning models, measure the effectiveness of recommendations, and ensure the reliability of the system, enhancing user experience across Crunchyroll's content offerings.
As a Staff Machine Learning Engineer at Cash App, you will build and integrate machine learning solutions to evaluate customer cash flow risk, support multiple products, optimize decisioning pipelines using AI/ML, and partner with cross-functional teams to leverage comprehensive customer data.
The Principal Machine Learning Engineer will build scalable ML systems for the Virtual Economy team at Roblox, focusing on ranking and purchasing transactions. Responsibilities include system design, mentorship, and team leadership, while collaborating with product and data science teams.
Top Companies in San Francisco, CA Hiring Data + Analytics Roles
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