Square Inc.
Staff Machine Learning Engineer - Conversational AI
Square Inc., California, Missouri, United States, 65018
Staff Machine Learning Engineer - Conversational AI
Remote Bay Area, CA, US The Role
The Square Conversational AI team builds intelligent and scalable machine learning solutions across all Square products. This team’s primary focus is to automate and optimize Square product features leveraging state of the art conversational and generative machine learning techniques. Our goal is to incorporate intelligence and automation into Square products like Conversations, Dashboard, Reports, Appointments and more. As a staff MLE within the Square Conversational AI team, you will lead projects across the product landscape. You Will
Strengthen your knowledge by using and learning a diverse set of techniques spanning all aspects of machine learning, with the focus on conversational and generative AI, to solve important business and product problems Collaborate with business leaders, subject matter experts, and decision makers to develop success criteria and develop new ML & data products, features and procedures Advocate for engineering best practices and upskill the team Drive end to end cross functional machine learning projects: you will build relationships with partner teams, frame problem statements, collect and analyze data, research & build prototypes, and finally productionize your ML solutions by designing and building their full pipelines Set the example of engineering quality and provide mentorship and tech guidance to the team. Help build the next generation of data driven and intelligent products at Square You Have
8+ years of ML software development experience Strong understanding of and experience with the entire ML development lifecycle: project setup, data pipelines, model training/serving and monitoring A track record of designing and maintaining production-level machine learning systems. Experience with language models and generative AI Experience in architecting scalable and low latency services Strong grasp of computer science fundamentals Good coding skill and comfortable with coding in production systems A commitment to writing clean and maintainable code. Interest in helping to shape the mission and roadmap of the team, and rallying others to join you. Effective communication skills with technical and non-technical people. Eagerness to share your own ideas, and openness to those of others. 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. Pay Zones
Zone A:
$198,000 — $297,000 USD Zone B:
$188,100 — $282,100 USD Zone C:
$178,200 — $267,400 USD Zone D:
$168,300 — $252,500 USD Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin.
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Remote Bay Area, CA, US The Role
The Square Conversational AI team builds intelligent and scalable machine learning solutions across all Square products. This team’s primary focus is to automate and optimize Square product features leveraging state of the art conversational and generative machine learning techniques. Our goal is to incorporate intelligence and automation into Square products like Conversations, Dashboard, Reports, Appointments and more. As a staff MLE within the Square Conversational AI team, you will lead projects across the product landscape. You Will
Strengthen your knowledge by using and learning a diverse set of techniques spanning all aspects of machine learning, with the focus on conversational and generative AI, to solve important business and product problems Collaborate with business leaders, subject matter experts, and decision makers to develop success criteria and develop new ML & data products, features and procedures Advocate for engineering best practices and upskill the team Drive end to end cross functional machine learning projects: you will build relationships with partner teams, frame problem statements, collect and analyze data, research & build prototypes, and finally productionize your ML solutions by designing and building their full pipelines Set the example of engineering quality and provide mentorship and tech guidance to the team. Help build the next generation of data driven and intelligent products at Square You Have
8+ years of ML software development experience Strong understanding of and experience with the entire ML development lifecycle: project setup, data pipelines, model training/serving and monitoring A track record of designing and maintaining production-level machine learning systems. Experience with language models and generative AI Experience in architecting scalable and low latency services Strong grasp of computer science fundamentals Good coding skill and comfortable with coding in production systems A commitment to writing clean and maintainable code. Interest in helping to shape the mission and roadmap of the team, and rallying others to join you. Effective communication skills with technical and non-technical people. Eagerness to share your own ideas, and openness to those of others. 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. Pay Zones
Zone A:
$198,000 — $297,000 USD Zone B:
$188,100 — $282,100 USD Zone C:
$178,200 — $267,400 USD Zone D:
$168,300 — $252,500 USD Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin.
#J-18808-Ljbffr