Work at Blissway: Opportunity for Impact Every Day 🚀✨

Blissway is a startup that simplifies toll collection and dramatically improves highway safety. We are multiple startups in one: Deep Tech, AI/ML, Hardware, SaaS, and IoT. For the past five years, we have built a nearly insurmountable technological lead in tolling, a roughly $200B global industry expected to double in the next decade. We work for toll authorities and state DOTs, and we own the whole system, from the roadside camera to the final bill, so every vehicle we see becomes one accurate toll transaction and nothing more. While our competitors have thousands of employees, we operate with a lean but growing team of less than 30. Our impact is visible on the massive Interstate Highway System connecting every major US metro (except Juneau, AK—sorry, Juneau).

You are a good fit if...

You love the grind: You take ownership and put in the time to meet deadlines. Our recent team survey showed an average of 55 hours/week, with occasional 70+ hour bursts for major releases.

You are detail obsessed: You have experience writing code, designing or building systems that stands up to the unpredictability of the physical world, where the small details are the difference between success and failure.

You are adaptable: We are a lean team. If you only want to work on a "niche thing" or are uncomfortable helping other teams when they need a boost, this isn't the place for you. We expect you to figure out what you need to get stuff done.

You code really well: We mostly use Python and TypeScript, but we don’t care what you’re most proficient in today—as long as you learn fast.

You value working together in person: You’re excited to work alongside the team at our Denver office. This role is in-office on Mondays, Wednesdays, and Fridays, with flexibility to work remotely on Tuesdays and Thursdays.

The Mission: Every image on our system has one job: complete an accurate toll transaction through a billing system we run and audit ourselves. Your job is keeping the models behind that transaction accurate and reliable. We process 11 million images a day, using detection, segmentation, classification, embeddings, and re-identification to match each vehicle to its toll. You'll own the infrastructure, deployment, and monitoring that take a model to the road, and the updates that keep it correct once it's there. This role is for the engineer who sees a great model stuck in a notebook and can't rest until it's running reliably in production.

The Work

Own the Platform: We wire it all together and run our own servers. You own the infrastructure behind every model we ship: training and serving infrastructure, model versioning, deployment, and rollback.

Vision at Real Scale: 11 million images a day across vehicles, license plates, wheels, and lane markings. At this volume, a faster pipeline or a cheaper inference path saves money every day.

Real Hardware in the Real World: We own the devices in the field, so the systems you build run on roads, not just in a test environment.

Edge and Cloud: Most of our compute lives in the cloud, where power is effectively unlimited. We're now pushing more inference onto roadside hardware, which is a completely different problem. You'll build the path that gets models onto edge devices, keeps them updated, and tells us when something drifts.

Maintain What Matters: Your job is making sure the model stays correct. You build the monitoring that catches degradation before anyone else does, and you own the updates that fix it.

How We Handle Data: We work only for toll authorities and state DOTs, on legislatively authorized toll roads. The laws governing our work prohibit keeping data unless it's used to charge a toll. There is no search-by-plate interface, no cross-agency lookup network, and no standing law enforcement access. Data leaves our system only through the same legal process that applies to any company's billing records.

Requirements

Experience: 2 to 6 years of full-time software engineering experience building and running production systems, such as infrastructure, backend services, or ML platforms.