Machine Learning Manager (AI)

TL;DR

Machine Learning Manager (AI): Leading a team to build and deploy machine learning models for banking and lending products with an accent on MLOps, production deployment, and leveraging new data sources. Focus on driving execution, setting technical vision for scalable ML solutions, and advancing modeling capabilities within a real-time production environment.

Location: Remote (US-based for salary determination)

Salary: $276,800–$415,200 USD

Company

hirify.global, Inc. builds technology to increase access to the global economy through its various brands like Square, Cash App, and Afterpay, focusing on commerce and financial services.

What you will do

• Drive the execution and delivery of ML models, ensuring your team has the context and support to build impactful solutions.
• Implement and deploy pragmatic modeling approaches to grow new products, as well as careful application of advanced techniques for mature ones.
• Leverage data science techniques to use new data sources for modeling and bringing clarity to business decisions.
• Lead complex ML Operations and Infrastructure initiatives that advance modeling capabilities.
• Support team members in ad-hoc and scheduled updates to existing models, and help troubleshoot issues in a real-time production environment.
• Lead, mentor, and grow a team of machine learning engineers, fostering a culture of innovation, collaboration, and engineering excellence.
• Set the technical vision and strategy for the team, defining the roadmap for developing scalable ML solutions.

Requirements

• 12+ years of experience in machine learning or software engineering, with 5+ years in a people management role.
• Experience shipping customer-facing ML products, with an understanding of the end-to-end ML lifecycle.
• Extraordinary communication skills (verbal and written), with the ability to articulate a technical strategy.
• Understanding of modern ML techniques and the ability to guide a team through complex technical decisions.
• Strong leadership and mentoring skills with a passion for developing talent.
• Experience leading teams to produce production-quality code and services, with a track record of setting high standards.
• Experience using any of the major cloud vendors for high-scale production use cases.
• Credit, lending or underwriting related ML experience.

Culture & Benefits

• Remote work option.
• Medical insurance, flexible time off, retirement savings plans, and modern family planning.
• Commitment to building a more inclusive economy and an inclusive interview experience.
• Support for reasonable accommodations to disabled applicants throughout the recruitment process.
• Market-based approach to pay, with U.S. locations categorized into four zones.

Hiring process

• Automated AI tools may be used to evaluate job applications for efficiency and consistency.