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Top Hybrid Machine Learning Jobs in San Francisco, CA
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.
As a Principal Data Scientist, you will lead the development of machine learning models, conduct research on emerging technologies, and collaborate with teams to enhance customer experiences and business outcomes at Capital One. You will also engage in data analysis and operationalize models for large-scale production systems.
The Senior Manager of Machine Learning Engineering at Capital One will lead a team to design, develop, implement, and optimize machine learning applications. This role involves collaborating with Product and Data Science teams, ensuring high performance of ML systems, constructing data pipelines, and managing code quality. The position focuses on adopting best practices in machine learning and delivering optimized solutions at scale.
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.
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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 AI ML Director will lead the development and implementation of machine learning components, optimize ML infrastructure, manage large-scale ML systems, collaborate with product teams, and drive the adoption of ML platforms across teams while mentoring engineers.
The Staff Machine Learning Engineer will lead projects within the Square Conversational AI team, focusing on building scalable machine learning solutions. Responsibilities include collaborating with business leaders, developing ML products, mentoring team members, and overseeing the entire ML lifecycle from data collection to production.
As a Senior Machine Learning Engineer, you'll build and iterate ML infrastructure solutions, focusing on model development, deployment, and ensuring system reliability. Collaborating with team members, you'll drive MLOps initiatives and maintain frameworks critical to machine learning services, ensuring efficient and scalable solutions.
As an Applied AI Scientist at ZS, you will develop advanced algorithms, execute statistical techniques on large datasets, evaluate emerging technologies, and contribute to the firm's thought leadership by researching and publishing on evolving topics.
As a Principal Machine Learning Engineer, you will lead the development of recommendation systems for Disney's streaming platforms, collaborating with product and data science teams. You will research and optimize algorithms, manage stakeholder expectations, and help meet key performance indicators while setting the roadmap for personalization features.
As a Staff Machine Learning Engineer at Canva, you'll develop AI/ML strategies to enhance customer support, lead the creation of natural language understanding systems, and collaborate with teams to leverage ML capabilities while mentoring other engineers.
Top hybrid Companies in San Francisco, CA Hiring Data + Analytics Roles
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