Job Description

You will join a growing team of machine learning engineers in Square’s Automation organization which is a cross-functional team that accelerates Square sellers’ path to value realization by making technology investments that reduce friction and cost and increase personalization across customer interfaces.

Within the Seller Experience org, the ML team works closely with Data Science, Data Engineering, Business Intelligence, Product Management and Software Engineering teams to inject intelligence and efficiency into Square’s direct communication paths with sellers.

The team works on a range of complex problems including but not limited to product recommendation systems, opportunity ranking, retention modeling and predicting the best time and medium of contact. These models directly empower Square’s Sales and Account Management organizations to maximize their ROIs.

Qualifications

You will:

• 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
• Strengthen your knowledge by using and learning a diverse set of techniques spanning all aspects of machine learning, causal inference, and other forms of statistical modeling 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
• Help build the next generation of data driven and intelligent products at Square

You have:

• 7+ years of industry experience in ML or a PhD in a related field with 4+ years of experience
• Fluency in Python and practical experience in applying CICD best practices
• Excellent breath and depth in ML fundamentals
• Experience in building Ranking and Recommendation Systems
• Experience with cloud-based ML pipelines on GCP or AWS
• Experience launching end-to-end production ML models
• Experience in automating internal business processes via data and ML solutions 
• Experience in stakeholder management and cross-functional collaboration
• The ability to clearly communicate complex concepts to technical and non-technical audiences
• A strong desire to perform and grow in your role

Even better:

• A graduate degree in a technical field relevant to ML (e.g., Computer Science or other STEM fields)
• Experience with designing and evaluating A/B tests for newly launched models
• Experience building scalable ML solutions for user facing or operational teams