Top Data & Analytics Jobs
As a Machine Learning Engineer, you will design and manage distributed services to enhance customer support with real-time solutions. Collaborate across teams to implement intelligent automation, integrate new data sources, and ensure high-quality code and testing practices. You'll also mentor fellow engineers and have ownership over your projects.
The Lead Machine Learning Engineer will design and maintain ML systems to detect fraud in real-time, collaborate with teams globally, and lead experiments to validate new ideas while applying advancements in technology to enhance existing products and systems.
The Senior Data Scientist at Cash App will analyze large datasets using SQL and programming languages to provide actionable insights. Responsibilities include working on product analytics, designing A/B tests, collaborating with engineers on data logging, forecasting metrics for business strategies, and creating data visualizations and dashboards for stakeholders.
As an AI Research Scientist, you will lead the design and implementation of large-scale experiments focused on advancing ML models. This role involves applying theoretical advancements to enhance products, conducting experiments, and publishing research findings to influence the field and collaborate with diverse partners.
As an AI Research Scientist, you will lead the design and implementation of large-scale experiments, enhance existing products using advanced machine learning techniques, and publish research findings. You'll collaborate with partners on research initiatives and refine methodologies under minimal supervision.
The Senior Machine Learning Engineer at Cash App will design and enhance ML inference services, support ML model development, and collaborate with cross-functional teams to drive strategic initiatives in financial crime detection.
You will build Cash App's customer support chatbot, utilize smart tooling, engineering high-throughput ML models and mentor other team members. You'll work with Product, Design, and Engineering teams to enhance customer support experiences through advanced machine learning techniques.
The Senior Machine Learning Engineer will partner with product and marketing teams to enhance customer experiences and drive growth. Responsibilities include building and deploying machine learning models specializing in personalization for Cash App and Afterpay. The role emphasizes creativity, collaboration, and leveraging large transaction datasets for innovative AI applications.
As a Senior Machine Learning Engineer on the Personalization team, you will leverage machine learning to enhance customer experiences and drive growth for Cash App. You will work closely with product and marketing teams to develop and deploy machine learning models tailored to customer interactions, utilizing a rich data set for personalized recommendations.
The Staff Machine Learning Engineer will enhance batch inference services and tooling for financial crime detection, work on infrastructure for model development, and lead AI/ML initiatives within Cash App. Responsibilities include collaborating with various teams, developing prototypes, and driving strategic roadmaps.
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