Staff Machine Learning Engineer - Conversational AI

Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn't work together.
So we expanded into software and started building integrated, omnichannel solutions - to help sellers sell online, manage inventory, offer buy now, pay later functionality, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we've embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.
Today, we are a partner to sellers of all sizes - large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We're building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same. .
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. Want to learn more about what we're doing to build a workplace that is fair and square? Check out our I+D page .
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 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. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.