Chile Based, Machine Learning Engineer

· Remote

Location

Remote

Type

Full Time

Job Description

BlisswayJobs
Chile Based Machine Learning Engineer

Chile Based Machine Learning Engineer

Posted Yesterday
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Denver CO USA
Hybrid
145K-195K Annually
Mid level
Computer Vision • Fintech • Hardware • Internet of Things • Machine Learning • Software • Transportation
The tolling industry's prime tech infrastructure
The Role
Build and ship computer-vision ML models end-to-end: data collection and curation training deployment to cloud and edge monitoring and iteration. Work with real roadside hardware and large-scale vision pipelines (detection segmentation classification embeddings re-identification). Choose between classical CV and SOTA models and optimize for accuracy speed and power.
Summary Generated by Built In


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 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 the pipeline is yours end to end.

  • Real Hardware in the Real World: This is the part that makes us special. We own the devices in the field. This means any idea you have can actually get built and tested on real roads.

  • Vision at Real Scale: We process 11 million images every single day running detection segmentation classification embeddings and re-identification across everything in the frame: vehicles license plates wheels even lane markings. Beyond images we have multiple other sensors on the road pulling in different data making the problem space wide open. At this volume the right model can drastically improve accuracy and cut cost at the same time.

  • Classical CV to Custom SOTA: Our toolbox spans the full range from traditional computer vision algorithms to custom-trained state-of-the-art models (detection segmentation embeddings classifiers). You pick the right tool and when nothing off-the-shelf is good enough you train your own.

  • Build the Best Models That Exist: We read the papers go to the conferences and hold our work to the current frontier. ML has become essential to Blissway over the past year and this team is where that bet gets made real.

  • Edge and Cloud: Most of our compute lives in the cloud where power is effectively unlimited. We're now pushing more inference onto the roadside hardware itself a completely different problem: the models have to be fast small and power-efficient without giving up accuracy. You'll work both sides of that constraint.

 

Requirements

  • 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.

  • Full Lifecycle: You've owned models beyond the notebook: trained deployed monitored and iterated in production.

  • Real CV depth. Experience with modern computer vision and the judgment to know when a classical technique beats a heavy model. You're not reaching for a transformer when a filter will do.

 

How We Work

We're a small team which means a more deliberate interview process than you might be used to. In exchange you get real autonomy from day one direct access to the people setting technical direction and work that ships to real roads in weeks not quarters.

 

The Process: We hire software engineers in cohorts. Rather than evaluate candidates on a rolling basis we collect applications over a two-week window and assess everyone together. This allows us to make fair considered comparisons and move the strongest candidates through the process efficiently and fairly.

The process has five stages:

  1. Application Review: We (a human) read every application carefully at the close of the approximately two-week window.

  2. Ezra: A brief AI-assisted screening to make sure we're a mutual fit before investing more of your time. Think of this as a way to augment your application.

  3. Screening Interview: A focused conversation to understand your background and motivations.

  4. Technical Interview: A deeper evaluation of your skills and how you think through problems.

  5. Experience Interview: A conversation about how you've worked and what you've built.

  6. Final In-Person: A chance to meet the team and see the work environment firsthand.

We'll be in touch at the close of the application window with next steps.

The Essentials (Health & Wealth)

  • Relocation Support: We are excited for you to join the team at our engineering office in Denver. We value in-person collaboration and daily team lunches and we provide a relocation bonus to help you get here.

  • Personalized Health Coverage (ICHRA): We don’t believe in one-size-fits-all healthcare. We provide a monthly allowance for you and dependents so you can choose the individual plan that actually fits your life.

  • Investing in Your Future: 401(k) matching up to 4%.

  • Peace of Mind: Transparent compensation. Company-sponsored life & disability insurance.

  • Early Stage Equity: Competitive equity package with 24-month exercise window. Every year we facilitate a tender process that gives you the opportunity to sell your vested shares at the same valuation as our investors.

Rest & Recharge 🌴

  • High-Trust Time Off: 4 weeks of untracked PTO. We don't micromanage your calendar; we focus on your impact. Take the time you need to stay sharp and inspired.

  • Family First: 12 weeks of paid parental leave for birth and adoptive parents. We want you present for the moments that matter most.

  • The Deep Breath (Sabbatical): Every 5 years take 12 weeks of fully paid leave. Go travel write a book or master a new hobby—then come back and tell us all about it.

Fuel & Community 😀

  • The Blissway Kitchen: Whether it’s breakfast to start your day or our daily group lunches we keep the team fueled.

  • Snacks Autonomy: Our kitchen is fully stocked and we mean it—if we’re missing your favorite fuel just add it to the request list.

  • The "BlissTrip": An annual 3–4 day getaway for the team and significant others.

  • Monthly Beats: Game nights escape rooms and dinners to celebrate the grit we put in.

  • Continuous Learning: Tuition reimbursement for courses programs and conferences that sharpen your craft.

Skills Required

  • 2 to 6 years software engineering experience focused on machine learning and/or computer vision
  • End-to-end ML production experience: dataset curation training deployment monitoring and iteration
  • Strong software engineering fundamentals and ability to write production-quality code
  • Hands-on experience training debugging and optimizing ML models
  • Deep experience in computer vision (detection segmentation classification embeddings re-identification) and classical CV techniques
  • Experience with cloud and edge deployment of models and working with roadside/embedded hardware
  • Experience processing and operating at large image scale and building ML pipelines
  • Proficiency or willingness to work with Python and TypeScript
  • Willingness to work on-site in Denver / relocate (relocation support provided)

What the Team is Saying

Blissway Compensation & Benefits Highlights

  • Equity Value & AccessibilityEquity is framed as significant and paired with an employee stock purchase plan tender opportunities for vested shares and extended post‑termination exercise windows that improve liquidity and usability. These features are described as unusual for a small private company increasing access to realized value.
  • Leave & Time Off BreadthTime‑off policies include four weeks of paid vacation flexible PTO norms paid parental leave and a fully paid sabbatical at the five‑year mark. This breadth offers multiple avenues for rest family needs and longer‑term recharge.
  • Healthcare StrengthHealth coverage is described as top‑tier across medical dental and vision with a monthly allowance model enabling employees and dependents to choose plans. This pairing indicates strong coverage depth combined with plan choice flexibility.

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The Company
HQ: Denver CO
24 Employees
Year Founded: 2019

What We Do

Blissway is a transportation tech startup founded by Stanford grads that uses machine learning and IoT to simplify the collection of tolls and improve road safety. Backed by Y Combinator –the famed startup accelerator– and some of the best investors in Silicon Valley we have been developing and testing our technology with the Colorado Department of Transportation and transportation agencies from five other states. Having recently been awarded a large contract in Denver we are looking to expand our team as we scale.

Why Work With Us

Join Blissway to revolutionize transportation with cutting-edge IoT machine learning and smart tolling solutions. Be part of a dynamic team driving innovation reducing congestion and improving roadway efficiency for agencies across North America. Make a real impact in the future of mobility!

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Blissway Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Most employees need to work in-person at our Denver office at least three days per week. The rest of the week they are able to choose.

Typical time on-site: 3 days a week
HQDenver CO

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Date Posted

07/02/2026

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