Senior Applied Scientist, Metropolis
Pricing Optimization
$170-210k
Office located in Santa Monica, CA
Autonomous commerce platform for urban mobility
Open for applications
Autonomous commerce platform for urban mobility
21-100 employees
Open for applications
$170-210k
Office located in Santa Monica, CA
21-100 employees
Company mission
To disrupt traditional city infrastructure to empower the future of urban mobility.
Role
Who you are
- 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)
What the job involves
- Metropolis is seeking a Senior Machine Learning Engineer to play a crucial role in developing innovative pricing algorithms tailored to a variety of parking scenarios
- Understanding various customer and operational business constraints, we are exploring theoretically grounded approaches to find the right price for our customers
- This includes translating complex real-world problems into well-defined mathematical objectives and constraints
- The ability to research, develop, and implement large-scale optimization algorithms is crucial for the success of this role
- The right candidate will have a robust background in optimization, forecasting, and causal inference, particularly within pricing applications or closely related fields
- You will be involved in every stage of the ML development pipeline – from data acquisition and ingestion to analysis, prototyping and deployment
- You should be able to thrive and succeed in an entrepreneurial setting, working collaboratively in a fast-paced environment with multiple stakeholders
- You should not be afraid to break new technological ground at Metropolis and need to be more than willing to roll up your sleeves, dig in and get the job done
- Research and develop optimization, machine learning, and statistical models to solve complex pricing challenges
- Navigate large and complex datasets to derive insights that inform key algorithmic strategies for pricing
- Shepherd models and algorithms from conception to production, ensuring successful and sustainable deployments
- 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
Our take
Driven by computer vision and AI technology, Metropolis offers a seamless parking and checkout experience by turning cars into wallets. This eliminates the need for physical tickets and pay machines, allowing property owners to maximise the financial performance of their parking assets and offer a modern service to customers.
Metropolis aims to revolutionise parking by integrating future mobility solutions, such as autonomous vehicle deployment, charging stations, and eVTOL infrastructure. Its approach includes dynamic pricing to optimise revenue during demand surges.
Co-founded by Alex Israel, a former ParkMe founder, the company has expanded rapidly following a $167M Series B fundraise and partnerships with Premier Parking and Uber. The company's recent acquisition of SP Plus Corporation, funded by a $1.8 billion investment, positions it as a leader in AI-driven mobility solutions. As a pioneer in its category, Metropolis continues to push the boundaries of parking and mobility technology.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Oct 2023
$1.1bn
SERIES C
Jun 2022
$167m
SERIES B
Total funding: $1.3bn
Company benefits
- Equity options - We offer ownership opportunities through stock options
- Wellness benefits - A wellness program designed to support a variety of needs
- Health insurance - We subsidise high-quality health insurance coverage for full-time and hourly employees
- We subsidize high-quality health insurance coverage for full-time and hourly employees
- 401(k) match - Plan for your future with a 4% company match
- Parental leave - Receive support prior to, during leave, and as you transition back to work
- Time off - Unlimited PTO for salaried employees, and a generous PTO package for our hourly employees
- Paid holidays - We observe major holidays with company-wide closures, and double hourly rates for those who work
- Hybrid environment - Magic happens face to face, but we support a flexible working model
Company values
- We are innovators - Revolutionising an industry is not for the timid. We challenge the status quo and build remarkable products and services for the real world. We have the conviction to disrupt and drive innovation. We move fast and know that excellence is only achieved through agility and iteration
- We are owners - Progress is not inevitable; it must be forged by vision, determination, and a bias for action. We take ownership because there is no other room. We own our actions – we do what we say, we say what we do, and strive to be worthy of compliment in all things, big and small
- We are leaders - We are a product-led technology company – leading while others follow. We work in different cities and in different roles but we are all on one team. We value our diversity and challenge each other out of principle and with respect. We demand excellence in ourselves and of one another. We are building the future together and we’re just getting started
Company HQ
Downtown, Santa Monica, CA
Articles
Leadership
Alexander Israel
(CEO)Former Vice President & General Manager at INRIX. Co-founder and former COO at ParkMe. BA in Business & Economics at University of Puget Sound.
Travis Kell
(CFO)Former Senior Vice President at Winton Group. Previously Director of Hedge Fund Solutions at BlackRock. BA in Business at University of Puget Sound.
Courtney Fukuda
(Chief of Staff)Formerly hedge fund solutions group at BlackRock. Managed senior relationships with sovereign wealth fund, central banks and other major institutional investors. BA in Economics at Yale University.
Peter Fisher
(CCO)Formerly growth equity Investor at Transamerica Investment Management, BA in Political Science at Boston College.
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