Blissway
Chile Based, Machine Learning Engineer
Denver, Colorado
Sponsorship not specifiedDetected 14 days ago
TypeScriptPythonAlgorithmsRESTMachine LearningNLPComputer VisionValuationSensorsCollaborationAdaptability
About the role
- Work at Blissway: Opportunity for Impact Every Day 🚀✨ Blissway is a startup that simplifies toll collection and dramatically improves highway safety.
- 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).
Responsibilities
- We wire it all together and run our own servers, so the pipeline is yours end to end.
- You pick the right tool, and when nothing off-the-shelf is good enough, you train your own.
Requirements
- 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.
- Experience Interview: A conversation about how you've worked and what you've built.
- 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.
- This means any idea you have can actually get built and tested on real roads.
Nice to have
- 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.
- Both Sides: Strong software engineering fundamentals plus hands-on ML.
Skills
- raw sensor data to production inference, dataset curation to deployment monitoring, cloud to edge.
- Most of our compute lives in the cloud where power is effectively unlimited.
Compensation
- Peace of Mind: Transparent compensation.
Benefits
- Our toolbox spans the full range, from traditional computer vision algorithms to custom-trained state-of-the-art models (detection, segmentation, embeddings, classifiers).
- 2 to 6 years of software engineering with a focus on machine learning and/or computer vision.
- Experience with modern computer vision and the judgment to know when a classical technique beats a heavy model.
- The Essentials (Health & Wealth)
- We value in-person collaboration and daily team lunches and we provide a relocation bonus to help you get here.
- We don't believe in one-size-fits-all healthcare.
- Competitive equity package with 24-month exercise window.
- 4 weeks of untracked PTO.
- 12 weeks of paid parental leave for birth and adoptive parents.
- Personalized Health Coverage (ICHRA): We don't believe in one-size-fits-all healthcare.
- Company-sponsored life & disability insurance.
- Early Stage Equity: Competitive equity package with 24-month exercise window.
- High-Trust Time Off: 4 weeks of untracked PTO.
- Family First: 12 weeks of paid parental leave for birth and adoptive parents.
Company info
- 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.
- YOU ARE A GOOD FIT IF...
- 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.
- Transparent compensation.
- We are excited for you to join the team at our engineering office in Denver.
- Relocation Support: We are excited for you to join the team at our engineering office in Denver.
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