Machine Learning Engineer

Blissway
Denver
Workplace: HybridFull timeUSD 145,000 - 195,000 annuallyFunction: Data Science & Machine LearningExperience: 2-6 yearsSkills: ["Ownership","Attention to detail","Adaptability","Fast learning"]

Own the end-to-end machine learning pipeline that powers real-time computer vision for toll collection and highway safety. Build and iterate detection, segmentation, classification, embeddings, and re-identification models—from raw sensor data and dataset curation through training, deployment, monitoring, and edge/cloud inference. Work with real field hardware, processing 11 million images daily, and apply both classical CV and custom SOTA techniques to improve accuracy and cut cost.

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FursaFursa
Blissway
Blissway
2 months ago

Machine Learning Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Own the end-to-end machine learning pipeline that powers real-time computer vision for toll collection and highway safety. Build and iterate detection, segmentation, classification, embeddings, and re-identification models—from raw sensor data and dataset curation through training, deployment, monitoring, and edge/cloud inference. Work with real field hardware, processing 11 million images daily, and apply both classical CV and custom SOTA techniques to improve accuracy and cut cost.
Location: Denver
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Own the full ML pipeline end to end: sensor data collection, dataset curation, training, deployment, monitoring, and iteration.
  • •Build and validate models that operate on real hardware deployed in the field for real-world road testing.
  • •Develop computer vision capabilities at scale, including detection, segmentation, classification, embeddings, and re-identification.
  • •Select and apply the right CV approach, spanning classical techniques through custom state-of-the-art models.
  • •Optimize inference across cloud and edge constraints for speed, size, power efficiency, and accuracy.

Pay and Benefits

Salary: USD 145,000 - 195,000 annually
Equity and Bonus:Equity
Perks:Annual BonusHealth Insurance401kLife InsuranceDisability InsuranceEarly EquityPaid LeaveParental LeaveSabbatical

Key Requirements

  • •2 to 6 years of software engineering focused on machine learning and/or computer vision, with true end-to-end ownership from raw data to production.
  • •Strong software engineering fundamentals plus hands-on ML, including writing production-quality code and training/debugging models.
  • •Experience beyond the notebook: trained, deployed, monitored, and iterated models in production.
  • •Modern computer vision experience and judgment for when classical techniques beat heavier models.
  • •Ability to work across the full pipeline from sensor data collection through deployment and monitoring.
Experience:2-6 yearsMachine learningComputer vision
Skills:OwnershipAttention to detailAdaptabilityFast learning
Tech Stack:PythonTypeScriptCloudEdge

Company Brief

Blissway
Develops next‑gen roadside tolling infrastructure using small roadside cameras and smartphone-based identification (WAL‑Es) plus cloud analytics to replace gantries and transponders for electronic toll collection.
Industry: Automotive
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
Headquarters: Los Angeles, United States
Founded: 2019
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