Machine Learning Engineer

Job summary

Work at BLI***: Opportunity for Impact Every Day BLI*** 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.

Qualifications

• YOU ARE A GOOD FIT IF...
• 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.
• The Mission: You are the engineer who ships the model, not just the one who trains it.
• This means any idea you have can actually get built and tested on real roads.
• 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.

Responsibilities

• You will own the full arc: raw sensor data to production inference, dataset curation to deployment monitoring, cloud to edge.
• You'll work both sides of that constraint.

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