Senior Machine Learning Engineer

Summary

Join AirGarage, a company revolutionizing parking real estate with a data-rich operating system, as a Senior Machine Learning Engineer. You will lead impactful machine learning and software engineering projects, enhancing the LPR system, developing new systems, and advancing dynamic pricing and enforcement platforms. This foundational role offers high-impact technical decision-making and establishing best practices. You will develop, deploy, and optimize machine learning models, design scalable backend systems, collaborate with engineers, and identify pragmatic ML/AI applications. The role also involves ensuring model robustness and maintainability, conducting code reviews, mentoring teammates, and working with product, operations, and founders. This is a high-leverage role with significant growth potential.

Requirements

• 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

Responsibilities

• 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

Benefits

• 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