Senior Machine Learning Engineer, Pricing Optimization

We are excited to announce an opening for a Senior Machine Learning Engineer at Metropolis, an artificial intelligence company that leverages computer vision technology to transform parking experiences into frictionless, checkout-free processes. Our mission is to reimagine everyday transactions, making them as swift and convenient as possible, and we envision a future where activities like driving in and out of parking spots are streamlined to save time.

The Role

As a Senior Machine Learning Engineer, you will play a vital role in developing innovative pricing algorithms customized for various parking scenarios. Your task will involve:

• Researching, developing, and implementing optimization algorithms for pricing challenges.
• Translating complex real-world problems into well-defined mathematical objectives and constraints, taking into account customer and operational business constraints.
• Navigating large datasets to derive insights for key algorithmic pricing strategies.
• Overseeing models and algorithms from conception through to production, ensuring successful and sustainable deployments.
• Effectively communicating ideas and results to both technical and non-technical audiences.
• Collaborating closely with cross-functional teams to align with organizational objectives.

Requirements and Qualifications

• PhD (strongly preferred) or MS in Operations Research, Statistics, Economics, Computer Science, or a relevant quantitative discipline.
• 4+ years of industry experience as a Machine Learning Scientist, Research Engineer, or in an equivalent role.
• Strong proficiency in Python and SQL for model development and statistical analysis.
• Expertise in implementing and deploying machine learning algorithms focusing on optimization and forecasting.
• Familiarity with large-scale datasets, data warehouses, ETL pipelines, and relevant tools/libraries.
• Proficiency with optimization libraries such as SciPy, CVXPY, or Gurobi.
• Experience with cloud platforms like AWS, Azure, or GCP.
• A proven track record in innovative, high-growth environments and publications in machine learning or optimization conferences and journals (e.g., ICML, ICLR, Neurips, INFORMS, SIAM).

When you join Metropolis, you will become part of a team of exceptional product leaders and engineers, dedicated to building a transformative ecosystem at the crossroads of parking, mobility, and real estate. We strive to foster an inclusive culture where every voice matters and the best ideas prevail.

Compensation and Benefits

The anticipated base salary for this position ranges from $170,000.00 to $210,000.00 annually, influenced by various factors including qualifications, relevant experience, and location. In addition to base salary, Metropolis offers:

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

Join us in making a difference as we build our future. Metropolis is an equal opportunity employer, committed to diversity, equality, and inclusion, and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.