Staff ML & Data Engineer

Confirmed live in the last 24 hours

Locations

Remote

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

AWS

Celery

Data Analysis

Data Structures & Algorithms

Flask

JavaScript

HTML/CSS

Airflow

Postgres

Product Design

React.js

Python

TypeScript

UI/UX Design

Requirements

10+ years professional software engineering experience
3+ years working on a SAAS product
Desire to learn new technologies
Strong experience with backend technologies including Python, Flask, Postgres, SqlAlchemy, Celery, Airflow
Experience with data transformation, cleansing, and manipulation
Production-level experience with machine learning is a big plus
Strong communication skills with both technical and non-technical audiences
Early stage start up work experience is a huge plus
Hungry for responsibility, impact, and growth
Humble, open-minded, and curious to learn
Team first
Strong sense of ownership
Treat others with respect, empathy, and constructive candor

Responsibilities

Lead and execute mission critical software projects
Scale Smarking AYM, an ML powered dynamic pricing engine on AWS, including: developing new integrations, developing and improving ML algorithms for different industry cases, develop API and UI for end users
Other project opportunities may include: building distributed systems for real-time data streaming, anomaly detection, predictive analytics; scaling databases and backend services to handle rapidly growing data volume and API requests; expanding data integrations; and building internal tooling for data warehouses
Build robust and high-quality frontend and backend code
Learn and integrate with external technologies
Participate in product design
Contribute to the technology and product roadmap

Desired Qualifications

Knowledge about front-end stack (Javascript/CSS/React/Typescript) is a plus

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.

As a Staff ML Engineer, will be responsible for leading and executing technical projects, scaling backend infrastructure, building and improving data and ML pipelines, refining machine learning algorithms, expanding integrations with our partners, providing technical expertise to the team, helping recruit and empower engineers, and taking Smarking AYM, other Smarking products and Smarking’s ML practice to the next level.

KEY RESPONSIBILITIES

Lead and execute mission critical software projects
Scale Smarking AYM, an ML powered dynamic pricing engine on AWS, including: developing new integrations, developing and improving ML algorithms for different industry cases, develop API and UI for end users
Other project opportunities may include: building distributed systems for real-time data streaming, anomaly detection, predictive analytics; scaling databases and backend services to handle rapidly growing data volume and API requests; expanding data integrations; and building internal tooling for data warehouses.
Build robust and high-quality frontend and backend code
Learn and integrate with external technologies
Participate in product design
Contribute to the technology and product roadmap

QUALIFICATIONS (EXPERIENCE)

10+ years professional software engineering experience
3+ years working on a SAAS product
Desire to learn new technologies
Strong experience with backend technologies including Python, Flask, Postgres, SqlAlchemy, Celery, Airflow
Experience with data transformation, cleansing, and manipulation.
Production-level experience with machine learning is a big plus.
Strong communication skills with both technical and non-technical audiences.
Knowledge about front-end stack (Javascript/CSS/React/Typescript) is a plus.
Early stage start up work experience is a huge plus.

QUALIFICATIONS (CHARACTER)

Hungry for responsibility, impact, and growth
Humble, open-minded, and curious to learn
Team first
Strong sense of ownership
Treat others with respect, empathy, and constructive candor

COMPENSATION

Competitive salary and equity.
100% coverage of medical, dental, and vision insurances.
401K plan with 3% company hard match.
$100 monthly data plan.
$60 per month gym membership (or other physical activity)
Unlimited paid time off.
Expenses for setting up home-office.

About Smarking

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.

11-50 employees

Website

AI-powered parking management company

Company Overview

Smarking is on a mission to enable highly efficient urban mobility by building the digital infrastructure for the massively overlooked $655B global parking industry. Smarking's leading business intelligence and yield management solutions helps parking professionals increase revenue, curb expenses, and make their operations more efficient through automation and real-time data.

Benefits

Competitive salary and equity
100% coverage of medical, dental, and vision insurances
401K plan with 3% company hard match
$100 monthly data plan
$60 per month gym membership (or other physical activity)
Unlimited PTO
Expenses for setting up home-office

Company Core Values

Hungry for responsibility, impact, and growth
Humble to learn, curious to learn, open-minded to learn
Team first
Strong sense of ownership
Treat others with respect, empathy, and constructive candor