Senior Machine Learning Engineer - Conversational AI Full-time 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 through Afterpay, 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.
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.
As a senior 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. Help build the next generation of data driven and intelligent products at Square. You Have: 6+ 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. 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. 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.
Zone A: USD $163,600 - USD $245,400
Zone B: USD $155,400 - USD $233,200
Zone C: USD $147,300 - USD $220,900
Zone D: USD $139,000 - USD $208,600
Full-time employee benefits include the following:
Healthcare coverage (Medical, Vision and Dental insurance). Health Savings Account and Flexible Spending Account. Retirement Plans including company match. Employee Stock Purchase Program. Wellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance. Paid parental and caregiving leave. Paid time off (including 12 paid holidays). Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees). Learning and Development resources. Paid Life insurance, AD&D, and disability benefits. 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 a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Block will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Because the material duties of this role involve direct or indirect access to sensitive personal or financial data, a criminal background check is required following a contingent offer of employment.
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