Senior Machine Learning Engineer, AirGarage
+ Equity
Parking management solution
Job no longer available
Parking management solution
101-200 employees
Job no longer available
+ Equity
101-200 employees
Company mission
To rethink the 30% of downtown city real estate dedicated to parking.
Role
Who you are
- 4+ years of professional experience in applied machine learning engineering, including model training, deployment, and optimization
- Strong proficiency in Python and experience with machine learning frameworks such as PyTorch, TensorFlow, or similar
- Demonstrated expertise applying computer vision algorithms and techniques (e.g., image classification, object detection, segmentation)
- Proven ability in backend software engineering, including developing scalable RESTful APIs, data processing pipelines, and managing databases
- Experience with cloud platforms and containerization
- A practical, solution-oriented mindset with excellent problem-solving abilities and clear communication skills
- A self-driven, collaborative team player comfortable working in a fast-paced, ownership-driven startup environment
What the job involves
- We’re looking for a Senior Machine Learning Engineer to lead impactful projects in machine learning and software engineering across our platform
- You’ll enhance our in-house License Plate Recognition (LPR) system, introduce entirely new systems, and advance our data-driven dynamic pricing and enforcement platforms
- Your role involves developing efficient, practical machine learning models optimized for both edge devices and cloud deployments, as well as identifying when traditional algorithms are more effective than ML solutions
- Beyond the models and algorithms, you’ll contribute to building the supporting systems by creating scalable backend systems for data ingestion, processing, and analytics
- This role requires a versatile engineer who prioritizes pragmatic, effective solutions over simple one-size-fits-all approaches
- As the first dedicated machine learning hire, this is a foundational role with the opportunity to make high-impact technical decisions and establish technical best practices
- This is a high-leverage role with visibility across the business and plenty of room to grow
- Develop, deploy, and optimize machine learning models, with applications spanning computer vision, dynamic pricing, and operational intelligence
- Design and implement scalable backend systems for ingesting, processing, and analyzing large datasets
- Collaborate closely with other engineers to build the necessary infrastructure for deploying models into production environments
- Identify pragmatic opportunities for applying ML/AI, prioritizing real-world impact over hype
- Ensure the robustness, efficiency, and maintainability of our ML models and related software systems
- Conduct thorough code reviews, mentor teammates, and raise the engineering quality bar
- Work daily with product, operations, and founders to ship high‑impact features quickly
- Drive continuous improvement in tooling, processes, and developer experience
Our take
The parking industry has long adhered to traditional practices, relying on attendants and disparate payment and management systems. However, AirGarage is changing the landscape by providing software and management services to parking lot and garage owners. With its all-encompassing approach spanning from signage installation to payment handling and even parking enforcement.
One of AirGarage's key innovations is its revenue-sharing model, offering property owners a favorable 70-30 split and full transparency on earnings. This approach addresses the longstanding issue of parking managers reaping their share of revenue, leaving property owners with just a fraction of the income generated by their spaces. With over 300 locations across 38 US states under its management, AirGarage has become a pivotal player in reshaping the parking industry.
In 2025, the company closed its Series B funding round. That capital injection has gone towards scaling its platform and finetuning its data infrastructure. It not only caters to personal vehicle parking but also accommodates food trucks and cloud kitchens in need of parking and storage solutions. The future looks promising for AirGarage as it continues to modernize and streamline an industry ripe for technological transformation.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Company benefits
- Unlimited PTO - Enjoy travel or just take some time off -- whatever you need to relax and recharge
- Health, Dental, & Vision - Choose the benefits and health plan that best suits you and your family, we’ll cover the cost
- 401k - Plan and invest in your future with a 401K account via our partner, Guideline
- Parental Leave - We offer 12 weeks of fully paid Parental Leave to all parents to bond with a newly born, adopted, or fostered child
- Equity - Become an owner and earn equity by joining us in the early days of the company
- Remote Weeks - Take a trip with the team to live and work side by side together for a week in an interesting destination near our parking properties
Company HQ
The Castro, San Francisco, CA
Leadership
Jonathon Barkl
(Co-Founder & CEO)Before co-founding AirGarage, they earned a Bachelor of Science Degree in Physics and Economics from Arizona State University. During their time at University, they held a role of Research Scholar at NASA.
Scott Fitsimones
(Co-Founder & CTO)Alongside co-founding AirGarage, they are also the Founder of CityDAO. Previously held Engineering Internships at Facebook and CERN.
Chelsea Border
(Co-Founder & Chief Data Officer)Prior to co-founding AirGarage, they earned a Bachelor's Degree in Business Data Analytics from Arizona State University.
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