Machine Learning Engineer – Philadelphia, PA

Machine Learning Engineer


  • 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)

Discover More AI Jobs:

More Information

Apply for this job Apply via Facebook
Email Me Jobs Like These
Showing 1–0 of 0 jobs
Share this job

We are one of the largest AI Communities online. Our publications have over 8.5 Million Views Annually and we have over 120K subscribers.