About AirGarage

AirGarage is on a mission to bring real estate online, starting with parking.

We replace broken parking machines, fragmented software, and manual, labor-intensive operations with a unified, data-rich operating system for parking real estate. We handle everything it takes to run and optimize a parking asset: payments, dynamic pricing, enforcement, license plate recognition, analytics, and more.

By building all of our technology in-house, we are able to deliver a magical experience for drivers while providing real-time visibility and revenue increases of 20-50% or more for real estate owners. That's why national real-estate leaders like Hines and Greystar, as well as technology companies like Meta, partner with AirGarage to optimize their parking facilities.

AirGarage uses datapoints like real-time occupancy, local events, weather, driver behavior, competitor pricing, and more to bring true intelligence to real estate owners' assets for the first time.

We're investing aggressively to make the physical world legible to a digital system: cameras, sensors, and software that generate a firehose of real-time data about the world around us. That data fuels models and algorithms that allow us to optimize performance at each property while giving owners the clarity and control they've never had before.

Before you can optimize an asset, you need to observe it. Before you can observe it, you need to bring it online.

We are starting with the $131 billion US parking real estate market because it is one of the most offline and mismanaged commercial real estate asset types. 26% of the land area in the median American urban core is dedicated to parking.

We are backed by top tier investors including Headline Growth, Andreessen Horowitz, Floodgate, Founders Fund, Abstract Ventures, and angel investors who have founded or worked at companies like Uber, Opendoor, Flexport, and more.

Want to learn more about AirGarage and the problem we're tackling?

Check out these podcasts:
https://www.youtube.com/watch?v=AU0NkDK51E4
https://youtu.be/_8aM6NQHYiE?si=p5WIujBWUA1sG-b7

THE ROLE

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.

WHAT YOU WILL DO

• 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.

WHAT YOU NEED

• 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.

THE UPSIDE

• Equity: Have a stake in the business that you're helping to build and grow.
• Work remotely: Live and work wherever you like! We believe in folks working where they are happiest and most productive. We currently hire teammates that are located anywhere within North America.
• Health insurance: We offer health insurance and currently cover 85% of the cost of medical plans for the primary employee and 50% of the cost of plans for dependents.
• Home office setup: Get a laptop + additional equipment needed to set you up for success.
• ⛺ Time to recharge: We have an unlimited PTO policy with a minimum requirement of 10 days per year.
• 🤑 401k: Make financial planning right for you with a 401k retirement savings program.
• Team Off-sites: ~2 times per year our team comes together for a full week in places like Tahoe, Puerto Vallarta, San Diego, and Austin.
• BookGarage: Our team loves to learn and grow together so join us for our optional recurring book club.
• 🪴Room to grow: Our team will be orders of magnitude larger within a few years, as a part of our foundational team you'll have opportunities to grow with us.
• 🏙 Transform our cities: The opportunity to change the way that the world thinks about real estate use in our cities.
• 👐 Work with a diverse team: At AirGarage, we've always been committed to building a thriving team that represents the communities we serve. Our team is currently 40% female and 30%+ from underrepresented communities.

We understand that there's no such thing as a 'perfect' candidate. We're looking for someone passionate, with grit and determination, who is excited to face the challenges of a rapidly growing startup. AirGarage is the type of company where you can grow exponentially, and we encourage you to apply to us even if you don't 100% match the candidate description.

AirGarage is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, martial status, mental or physical disability, or any other legally protected status.