# Machine Learning Engineer at Blissway

- Company: Blissway
- What the company does: BLISSWAY provides next-generation roadside tolling infrastructure deployable in weeks and at zero upfront cost to agencies. Backed by Y Combinator.
- Company website: https://www.blissway.com/
- Type: Startups (AI role)
- Level: Mid level
- Location: Denver, Colorado
- Work setup: On-site
- Pay: $145K to $195K base salary per year (USD)
- Posted: 2026-09-04
- Apply by: 2026-10-19
- Apply: https://jobs.ashbyhq.com/blissway/662f1761-5d28-421d-8b47-605cc910991d
- Page: https://www.1752.vc/careers/jobs/blissway-machine-learning-engineer/

## About the role

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.

## What they're looking for

- 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
- Experience: 2 to 6 years of software engineering with a focus on machine learning and/or computer vision. We want someone with true end-to-end experience: you've taken models from raw data to production and owned what happens after they ship
- Both Sides: Strong software engineering fundamentals plus hands-on ML. You write production-quality code and you train and debug models. The two overlap, and we want someone comfortable across both

Tags: Chilean Referral Network