BLISSWAY

Machine Learning Engineer

BLISSWAY
US Denver, CO, US
Onsite 2026-07-02
Announced salary
$145,000 - $195,000
Low
$87K
Median
$114K
High
$151K
Market in Denver · BLS OEWS 2025
Estimated net pay
$8,728 - $11,447
/month · 28% withheld
after tax & contributions · Single, no dependents

Job description

**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, an industry that is quietly bigger than football. While our competitors have thousands of employees, we operate with a lean but growing team of less than 30\. We’ve stayed under the radar, but 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 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. **Software Engineer, Machine Learning Team** -------------------------------------------- **The Mission:** You are the engineer who ships the model, not just the one who trains it. At Blissway, we process 11 million images every single day, running detection, segmentation, classification, embeddings, and re\-identification across everything in the camera’s frame. You will own the full arc: raw sensor data to production inference, dataset curation to deployment monitoring, cloud to edge. This role is for the engineer who se

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