Chile Based, Machine Learning Engineer

Location

Denver, Colorado

Employment Type

Full time

Department

Engineering

Compensation

• $145K – $195K • Offers Equity • Relocation Bonus

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.

Machine Learning Engineer

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 sees a model sitting in a notebook and feels the itch to put it to the test, or in this case, on the road. The Work

• Own the Whole Pipeline: You decide which problems are worth solving, then take them from raw sensor data all the way to production: collection,...dataset curation,...training,...deployment,...monitoring,...and iteration. We wire it all together and run our own servers,...so pipeline yours end to end.
• Real Hardware in Real World: Own devices field; ideas built tested real roads.
• Vision at Real Scale: Process 11 million images daily; detection,...segmentation,...classification,...embeddings,...re-identification across vehicles,...license plates,...wheels,...lane markings; multiple sensors pull data wide open problem space; right model improves accuracy cuts cost.
• Classical CV to Custom SOTA: Toolbox spans traditional CV algorithms custom-trained state-of-the-art models (detection,...segmentation,...embeddings,...classifiers); pick right tool; train own if off-the-shelf insufficient.
• Build Best Models Exist: Read papers; attend conferences; hold work current frontier; ML essential past year; team bet made real.
• Edge Cloud: Compute mostly cloud unlimited power; pushing inference roadside hardware different problem: models fast small power-efficient without accuracy loss; work both sides constraint.

Requirements

• Experience: 2-6 years software engineering focus ML/computer vision; true end-to-end experience: models raw data production owned post-shipping.
• Both Sides: Strong software engineering fundamentals plus hands-on ML; write production-quality code train debug models overlap comfortable both.
• Full Lifecycle: Owned models beyond notebook: trained deployed monitored iterated production.
• Real CV depth: Experience modern computer vision judgment classical technique beats heavy model; not reaching transformer filter suffice.

How We Work Small team deliberate interview process exchange real autonomy day one direct access technical direction work ships real roads weeks not quarters. Process: 1 Application Review human reads applications close two-week window. 2 Ezra brief AI-assisted screening mutual fit augment application. 3 Screening Interview background motivations conversation. 4 Technical Interview deeper skills problem-solving evaluation. 5 Experience Interview discuss work built conversation. 6 Final In-Person meet team see environment firsthand. We'll contact after application window close next steps. Essentials (Health & Wealth)

• Relocation Support: Engineering office Denver relocation bonus onsite collaboration lunches valued.
• Personalized Health Coverage (ICHRA): Monthly allowance individual health plans tailored dependents not one-size-fits-all coverage.
• Investing Future: 401(k) matching up to 4%.
• Peace Mind: Transparent compensation company-sponsored life disability insurance.
• Early Stage Equity: Competitive equity package 24-month exercise window annual tender sell vested shares same valuation investors.

Rest Recharge 🌴

• High-Trust Time Off: 4 weeks untracked PTO focus impact not micromanagement take needed time off sharpness inspiration.
• Family First: 12 weeks paid parental leave birth adoptive parents support presence important moments.
• Deep Breath (Sabbatical): Every 5 years take 12 weeks fully paid leave travel hobbies return refreshed.

Fuel Community 😀

• Blissway Kitchen: Breakfasts daily group lunches keep team fueled.
• Snacks Autonomy: Fully stocked kitchen option request favorite snacks missing.
• "BlissTrip": Annual 3–4 day getaway team + significant others.
• Monthly Beats: Game nights/escape rooms/dinners celebrate team effort.
• Continuous Learning: Tuition reimbursement courses/programs/conferences sharpening craft.

Compensation Range: $145K - $195K