Metropolis is a mobility commerce platform connecting mobility, local businesses, and payments for the first time.
August 22
🏢 In-office - Los Angeles
Metropolis is a mobility commerce platform connecting mobility, local businesses, and payments for the first time.
• Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. • Develop innovative pricing algorithms tailored to a variety of parking scenarios. • Research, develop, and implement large-scale optimization algorithms. • Navigate large and complex datasets to derive insights that inform key algorithmic strategies for pricing. • Communicate ideas and results effectively, verbally and in writing, to a wide range of technical and non-technical audiences. • Collaborate closely with cross-functional teams to ensure alignment with organizational objectives and requirements.
• PhD (strongly preferred) or MS in Operations Research, Statistics, Economics, Computer science or a relevant quantitative discipline. • 4+ years of industry experience as a ML scientist, research engineer, or equivalent role. • Strong proficiency in Python and SQL for model development and statistical analysis. • Proven expertise in implementing and deploying machine learning algorithms related to optimization and forecasting. • Experience with large-scale datasets, data warehouses, ETL pipelines, and familiarity with relevant tools and libraries. • Proficiency with optimization libraries such as SciPy, CVXPY, or Gurobi. • Proficiency in utilizing cloud platforms such as AWS, Azure, or GCP • Previous experience working inside innovative, high-growth environments. • A proven track record of publications in machine learning or optimization conferences and journals (ICML, ICLR, Neurips, INFORMS, SIAM, etc).
• Access to healthcare benefits • 401(k) plan • Short-term and long-term disability coverage • Basic life insurance • Lucrative stock option plan • Bonus plans
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