Contribute to the development and enhancement of internal analytics platforms and business applications by leveraging your understanding of front-end and back-end systems.
Assist in deploying and maintaining cloud-based data services and analytics applications.
Collaborate with Product, Engineering, and Business teams to deliver analytics projects on schedule and coordinate project milestones across stakeholders.
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Write and maintain automated tests and CI/CD-related configurations to improve development efficiency and code quality.
Support the engineering deployment of AI/LLM capabilities based on business needs, such as integrating LLM APIs, building basic RAG pipelines, and embedding tool/agent capabilities into existing systems.
Help build and maintain datasets and benchmarks for evaluation/regression, track online performance, and assist with debugging and fixing issues.
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Build and execute partnership strategies and activation plans
Work with cross-functional teams (brand, comms, insights, design, content, data, product, social media, legal) to plan annual strategy (goals, budget, channels, product-market fit)
Use data to set goals and measure campaign performance (short-term and long-term)
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Intelligent Performance Analysis: Build AI-driven tools that can automatically detect anomalies, identify bottlenecks, and provide actionable insights from complex performance data
Innovation & Research: Explore and experiment with the latest AI technologies and evaluate their potential in performance engineering
Real Impact: Your work will directly influence how we ensure system reliability and performance for millions of users
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Write and maintain automated tests and CI/CD-related configurations to improve development efficiency and code quality.
Support the engineering deployment of AI/LLM capabilities based on business needs, such as integrating LLM APIs, building basic RAG pipelines, and embedding tool/agent capabilities into existing systems.
Help build and maintain datasets and benchmarks for evaluation/regression, track online performance, and assist with debugging and fixing issues.
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Support case analysis and risk investigations by assisting with user reports and risk signals, identifying key risk characteristics, and improving risk strategies for high-risk and organized case
Assist in optimizing AI tools and workflows to enhance risk operations, process automation, automated alerting, and cross-functional project tracking
Undergraduate in a quantitative discipline, such as Mathematics/Statistics, Actuarial Sciences, Computer Science, Engineering, or Life Sciences
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Support case analysis and risk investigations by assisting with user reports and risk signals, identifying key risk characteristics, and improving risk strategies for high-risk and organized case
Assist in optimizing AI tools and workflows to enhance risk operations, process automation, automated alerting, and cross-functional project tracking
Undergraduate in a quantitative discipline, such as Mathematics/Statistics, Actuarial Sciences, Computer Science, Engineering, or Life Sciences
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