KinderKids Learning Center
Senior Machine Learning Engineer (Modeling), Underwriting and Credit
KinderKids Learning Center, San Francisco, California, United States, 94199
Senior Machine Learning Engineer (Modeling), Underwriting and Credit
Block
Published 10 Aug 2024Share this job
San Francisco, CA, USAUSD $198000 - USD $297000 annuallyFull TimeShare this job
Role Highlights
PythonGOAIData AnalysisComputer ScienceEmbeddedStatisticsMathematicsBitcoinBlockchainTools, Libraries and Frameworks
FlowMySQLSnowFlakeGCPAWSTensorflowNumPyXGBoostDescription
Block aims to redefine the relationship with money through innovative financial products powered by AI. The role involves building and integrating machine learning solutions focused on evaluating customer cash flow risks related to credit and liquidity. By leveraging extensive transaction data, the engineer will experiment with modeling techniques and collaborate cross-functionally with various teams. This approach seeks to improve financial health and accessibility for customers.Required Qualifications and Skills
Candidates are expected to possess a Bachelor's degree in Computer Science, Statistics, Mathematics or a related field, with a Master's degree being preferred. At least six years of experience in machine learning or data analysis is required. A strong understanding of machine learning algorithms and data analysis methods is essential, along with excellent problem-solving capabilities. Strong communication skills are also necessary for conveying complex information to non-technical stakeholders."It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem developing unique financial products including Afterpay/Clearpay to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers." "Today Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration, and impact." "We've been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates." "Machine Learning is an integral part of how we design products, operate, and pursue Cash App's mission."Share & Disclaimer
Share this job
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
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Block
Published 10 Aug 2024Share this job
San Francisco, CA, USAUSD $198000 - USD $297000 annuallyFull TimeShare this job
Role Highlights
PythonGOAIData AnalysisComputer ScienceEmbeddedStatisticsMathematicsBitcoinBlockchainTools, Libraries and Frameworks
FlowMySQLSnowFlakeGCPAWSTensorflowNumPyXGBoostDescription
Block aims to redefine the relationship with money through innovative financial products powered by AI. The role involves building and integrating machine learning solutions focused on evaluating customer cash flow risks related to credit and liquidity. By leveraging extensive transaction data, the engineer will experiment with modeling techniques and collaborate cross-functionally with various teams. This approach seeks to improve financial health and accessibility for customers.Required Qualifications and Skills
Candidates are expected to possess a Bachelor's degree in Computer Science, Statistics, Mathematics or a related field, with a Master's degree being preferred. At least six years of experience in machine learning or data analysis is required. A strong understanding of machine learning algorithms and data analysis methods is essential, along with excellent problem-solving capabilities. Strong communication skills are also necessary for conveying complex information to non-technical stakeholders."It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem developing unique financial products including Afterpay/Clearpay to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers." "Today Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration, and impact." "We've been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates." "Machine Learning is an integral part of how we design products, operate, and pursue Cash App's mission."Share & Disclaimer
Share this job
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
#J-18808-Ljbffr