Machine Learning Engineer, Growth

On Site Full TimeSeattle, Washington, United StatesMetropolis Technologies

Metropolis is seeking a Machine Learning Engineer to develop and expand our revenue forecasting and dynamic pricing systems. The role involves designing and implementing models that predict demand, analyze price-demand relationships, and develop pricing strategies.

Requirements

  • PhD in Computer Science, Statistics, Economics, Applied Mathematics, or a related STEM field
  • Proficient programming skills in Python and SQL
  • Foundational experience in machine learning modeling and statistics
  • Strong knowledge with forecasting, optimization, and decision-making algorithms
  • Hands-on experience with data pipeline development
  • Strong communication skills, both written and verbal

Benefits

  • Healthcare benefits
  • 401(k) plan
  • Short-term and long-term disability coverage
  • Basic life insurance
  • Stock option plan
  • Bonus plans

Tagged as: , , ,

To apply for this job please visit job-boards.greenhouse.io.


You can apply to this job and others using your online resume. Click the link below to submit your online resume and email your application to this employer.

Tired of manual job applications?

JobCopilot auto-applies to thousands of RevOps and GTM roles on your behalf — so you can focus on interviews, not applications.

Applying for this role?

Tailor your resume to this exact role — hiring managers notice the difference.

Latest articles on the blog

RECRUITERS!

Reduce the risk of your recruitment process (applicant quality, long and inefficient process) by selecting from a relevant pool of candidates.

POST A NEW JOB NOW!