• Utilize deep technical knowledge of machine learning, recommendation systems, data engineering, and software engineering principles to build machine learning solutions and workflows
• A passion for making these methods scalable, reproducible and easy-to-use
• Providing guidance on transitioning prototypes and experiments to performant, production models
• Leading architectural decisions and tool selection in order to deliver platform features
• Contributing to our team’s commitment to testable, readable, and well-organized code
• Clearly communicate trade-offs between schedule, resources, model performance etc.
• Work on projects of growing responsibility, both individually and as part of a team, to build experience and skills at a pace matched to your shown ability
• Learn more about the industry and Perpay, establishing a solid foundation to be better positioned for long-term career success

Basic Qualifications

• Bachelor’s degree or higher in a quantitative/technical field (Computer Science, Engineering)
• Creative, collaborative, and product focused
• Minimum 2+ years work experience in related field required
• Strong working knowledge of SQL/NoSQL, relational databases and Python is required (2+ years experience)
• Industry experience in algorithm design and implementation, codebase management and code generalization
• Experience delivering complex engineered features for real-time prediction systems

What We Offer

• Competitive salary + equity
• Health/dental/vision insurance fully covered
• 401K + company match
• Gym + public transportation subsidy
• Relocation assistance
• Centrally located in downtown Philadelphia in a beautiful loft-style office with an espresso machine and office pup (Kingsli)

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