Software Engineer, Machine Learning Operations

Blissway Inc., Denver, Colorado

What you will do

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:

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Software Engineer, Machine Learning Operations

Blissway Inc., Denver, Colorado

Posted pay

$150K–$195K

a year

Compared with similar jobs

This base pay is below the median for ML and AI engineering jobs in other US places with no level in the job title.

Median: $183K a year
Other jobs in the group: 417

We compare the middle of each posted range. This is base pay as posted. The group does not include this job.

Location: Denver, Colorado
Work type: Hybrid
Level: Not given
Experience: 2+ years
Skills in the job text: Python
Posted: Oct 6, 2026
Last check: 5 h ago
Job type: ML / AI engineering, Inference & ML systems

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Blissway Inc.

Open tech jobs: 9
With posted pay: 100%
Median posted base: $135K–$180K

About Blissway Inc.: funding, hiring and pay

Blissway Inc.

About Blissway Inc.: funding, hiring and pay

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What you will do

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:

What you need

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.

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.
Production Fundamentals: You write production-quality code and build reliable systems: pipelines, deployment, observability, and the tooling that keeps them running.
ML Curiosity: You don't need to design novel architectures. You may have deployed models before, or you may be a strong engineer who wants to go deep on ML. Either way, you understand, or are eager to learn, how models are trained and evaluated well enough to debug them in production.
Python: Fluent in Python.
Bonus: Experience taking ML models past the notebook (deployment, monitoring, retraining), deploying to edge or resource-constrained hardware, or running your own servers instead of fully managed cloud services.

Software Engineer, Machine Learning Operations

What you will do

Software Engineer, Machine Learning Operations

What you will do

What you need

You are a good fit if

Requirements

Work at Blissway: Opportunity for Impact Every Day

The Interview Process

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