Smarking is a group of hyper-driven MIT PhDs, data scientists, engineers, transportation experts, and battle-tested business professionals working to solve the notorious parking problem via a unique enterprise approach. Smarking aims to enable highly efficient urban mobility by digitizing parking spaces and distributing parking inventory dynamically, in order to get the world ready for the connected, shared, and autonomous future.
Backed by top VCs like Y Combinator and Khosla Ventures, Smarking has brought its solution to over 2,500 parking locations across North America. For the first time, cities, parking asset owners, and parking operators can make data-driven decisions easily. Smarking also launched the industry’s first fully automatic dynamic pricing engine, producing 40%-400% revenue uplifts for online sales at at parking locations Chicago, NYC, Boston, and many other cities.
Smarking is a leading provider of enterprise software and data technology solutions for the massively overlooked $655B global parking industry. With the post pandemic recovery across the industry, Smarking's Automated Yield Management (AYM) - the first Machine Learning (ML) based dynamic pricing engine in the parking industry - is gaining rapidly growing traction and requires systematic scaling to meet the market needs.
This is an excellent position for a highly capable software engineer who's passionate about scaling backend infrastructure, building and improving data and ML pipelines, refining machine learning algorithms, expanding integrations with our partners, and taking the Smarking AYM to the next level.
Reporting directly to the CTO, the Sr. ML & Data Engineer will work with state-of-the-industry technologies including Python, Postgres, Flask, Docker, Redis, ElasticSearch, Airflow, Terraform, and AWS services such as EC2, S3, RDS, and ECS, and lead major engineering efforts that immediately impact our business and operations. Our infrastructure is cloud native, and we are moving towards a server less architecture.
Smarking is a group of passionate MIT PhDs, data scientists, Silicon Valley engineers, and battle-tested business professionals, committed to enable highly efficient urban mobility by building the digital infrastructure for the massively overlooked $655B global parking industry ($131B in the US).
Smarking is hired by organizations like Brookfield Properties, City of Miami, ABM Industry Groups, and many other enterprise industry leaders to turn their parking data into business results. Smarking's dynamic pricing engine has been creating 40%-400% revenue uplift for online parking sales at parking facilities in Chicago, NYC, Boston, and many other cities, without any manual involvement required from property managers, leveraging fully automatic algorithm-driven yield management technologies similar to the airline and hotel industries.
By providing the very first business intelligence and yield management enterprise SaaS to the parking industry, Smarking is establishing itself as an emerging leader in the US parking market. Smarking currently works with 2,500+ parking locations cross North America, based in San Francisco, and backed by top investors like Khosla Ventures and Y Combinator.
Our backend system provides API endpoints through microservices, most of which are written in Python. Our tech stack includes Docker, Postgresql, ElasticSearch, Kubernetes, flask, nginx, terraform, and AWS services such as EC2, S3, SQS, and ECS.
Our front-end is mostly written in ES6. Our tech stack includes React, Redux, and Flow. We use mocha, chai, enzyme, and selenium for testing. We use webpack for packaging, and docker for containerization. And we’re constantly trying new tools and practices to be the best we can.