Machine Learning Engineer, Growth
Metropolis is seeking a Machine Learning Engineer to join our Advanced Technology Group (ATG) in Seattle, Washington. This role focuses on developing and expanding our revenue forecasting and dynamic pricing systems, directly influencing key business metrics such as revenue, utilization, and customer demand. As part of the machine learning team, you will play a pivotal role in designing and implementing models that predict demand, analyze price–demand relationships, and develop pricing strategies.
In this position, you will be responsible for designing, developing, and deploying demand forecasting models optimized for various business goals, including visits, revenue, and availability. You will innovate and enhance machine learning models for price elasticity, time series analysis, and probabilistic models aimed at revenue optimization. Additionally, you will build end-to-end data pipelines to support large-scale production usage, identify and resolve data issues, and design and analyze experiments to validate pricing strategies. Collaborating with product, engineering, and business teams, you will translate requirements into scalable machine learning solutions.
The ideal candidate will possess a PhD in Computer Science, Statistics, Economics, Applied Mathematics, or a related STEM field, with at least one year of relevant experience, or a Master's degree with equivalent publications. Proficiency in Python and SQL is essential, along with foundational experience in machine learning modeling and statistics, such as time series forecasting, probabilistic models, and deep learning models. Strong knowledge of forecasting, optimization, and decision-making algorithms, including revenue maximization and demand/price curve optimization, is required. A solid understanding of causal inference and experimentation, with experience evaluating both short-term and long-term effects, is also necessary. Hands-on experience with data pipeline development, including AWS data storage, data transformation, distributed processing (Spark), and workflow orchestration (Airflow), is highly desirable. Strong communication skills, both written and verbal, are essential, as is the ability to operate effectively at both team and deep technical levels.
Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the member experience. Our corporate team members adhere to an office-first model, requiring employees to be on-site at least four days a week to foster organic interactions that spark creativity and connection. The anticipated base salary for this position ranges from $150,000 to $180,000 annually. The actual base salary offered is determined by various factors, including the applicant's qualifications, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more.
Joining Metropolis means becoming part of a team of world-class product leaders and engineers who are building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to create an inclusive culture where everyone has a voice, and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows, contributing to a future where the real world becomes more responsive and intuitive.