Cash
Senior Machine Learning Engineer, Personalization
Cash, California, Missouri, United States, 65018
Senior Machine Learning Engineer, Personalization
Bay Area, CA, USThe Role
The Personalization Machine Learning (PML) team strives to create a personalized experience on Cash App and Afterpay by tailoring content for our customers. Our team is continuing to grow and we’re looking for ML Engineers who are excited about building thoughtful software and solving interesting problems. Our problems span many technologies, from server-side development and machine learning pipelines to web.As a member of the ML systems engineering team, you will work very closely with ML Modelers and Decision Scientists to integrate and productize credit risk models. The PML engineering team is the main interface between the world of ML and product engineering, and as such your work will include everything from backend engineering, developing data pipelines, to creating features, and building tools to automate operations. We build our services over Cash App's ever-evolving infrastructure, and as a senior engineer on the team, you will embrace these changes and scale our tech stack to promote future evolvability. This is an exciting opportunity to make a direct, tangible impact on our product and work on projects that are critical to the business’s success.You Will
Be responsible for designing, building and managing the distributed services, pipelines and tools for Personalization Machine Learning including recommendation system, ranking systems and tooling for marketing at Cash App & Afterpay.Lead impactful, multi-person projects that cross Engineering team boundaries.Demonstrate high code quality, good test coverage and other engineering best practices.Collaborate with product, analysts, and modelers on planning and implementing frictionless user experiences.Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications.Have autonomy to research and achieve outcomes with support when you need it.Creatively solve challenging technical problems at scale.Contribute to the growth of our development capabilities through mentoring and supporting fellow engineers.You Have
5+ years of experience in building highly scalable systems and demonstrated technical initiative and leadership on previous projects.Experience helping your teammates grow through mentorship and providing constructive feedback.Experience or knowledge in ML is helpful but not a prerequisite: if you are a solid software engineer, then we are happy to train you up on ML-specific parts of the role.Be able to work collaboratively with technical and non-technical people across different teams.Curiosity and a passion for Cash App's mission of economic empowerment.Technologies We Use and Teach
Kotlin, Python and React.HTTP, JSON, gRPC, and Protocol Buffers.ElasticSearch.AWS, GCP and Kubernetes.DataDog.Big data processing technologies like Spark.We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We also consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.Block will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Block takes a market-based approach to pay, and pay may vary depending on your location. U.S locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.Zone A: $198,000 — $297,000 USDZone B: $188,100 — $282,100 USDZone C: $178,200 — $267,400 USDZone D: $168,300 — $252,500 USD
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Bay Area, CA, USThe Role
The Personalization Machine Learning (PML) team strives to create a personalized experience on Cash App and Afterpay by tailoring content for our customers. Our team is continuing to grow and we’re looking for ML Engineers who are excited about building thoughtful software and solving interesting problems. Our problems span many technologies, from server-side development and machine learning pipelines to web.As a member of the ML systems engineering team, you will work very closely with ML Modelers and Decision Scientists to integrate and productize credit risk models. The PML engineering team is the main interface between the world of ML and product engineering, and as such your work will include everything from backend engineering, developing data pipelines, to creating features, and building tools to automate operations. We build our services over Cash App's ever-evolving infrastructure, and as a senior engineer on the team, you will embrace these changes and scale our tech stack to promote future evolvability. This is an exciting opportunity to make a direct, tangible impact on our product and work on projects that are critical to the business’s success.You Will
Be responsible for designing, building and managing the distributed services, pipelines and tools for Personalization Machine Learning including recommendation system, ranking systems and tooling for marketing at Cash App & Afterpay.Lead impactful, multi-person projects that cross Engineering team boundaries.Demonstrate high code quality, good test coverage and other engineering best practices.Collaborate with product, analysts, and modelers on planning and implementing frictionless user experiences.Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications.Have autonomy to research and achieve outcomes with support when you need it.Creatively solve challenging technical problems at scale.Contribute to the growth of our development capabilities through mentoring and supporting fellow engineers.You Have
5+ years of experience in building highly scalable systems and demonstrated technical initiative and leadership on previous projects.Experience helping your teammates grow through mentorship and providing constructive feedback.Experience or knowledge in ML is helpful but not a prerequisite: if you are a solid software engineer, then we are happy to train you up on ML-specific parts of the role.Be able to work collaboratively with technical and non-technical people across different teams.Curiosity and a passion for Cash App's mission of economic empowerment.Technologies We Use and Teach
Kotlin, Python and React.HTTP, JSON, gRPC, and Protocol Buffers.ElasticSearch.AWS, GCP and Kubernetes.DataDog.Big data processing technologies like Spark.We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We also consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.Block will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Block takes a market-based approach to pay, and pay may vary depending on your location. U.S locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.Zone A: $198,000 — $297,000 USDZone B: $188,100 — $282,100 USDZone C: $178,200 — $267,400 USDZone D: $168,300 — $252,500 USD
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