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Blissway Inc.
Blissway Inc.
11 – 50 Employees
HardwareLogisticsTransport
Blissway Inc. is a transportation technology company developing modern infrastructure for tolling and managed lanes. Its platform combines compact Wireless Autonomous Lane Enforcers (WAL-Es) installed along roadsides with cloud-based data analytics to identify and track vehicles across multiple lanes. The technology supports electronic toll collection, vehicle classification, express and HOV lane management with occupancy verification, and temporary or disaster-recovery toll operations. Blissway’s work is relevant to tolling agencies and transportation operators seeking alternatives to traditional gantries and in-vehicle transponders.
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Machine Learning Operations Software Engineer, Denver Hybrid

Deploy and operate computer-vision models supporting toll collection and highway safety. Manage cloud, edge, and roadside infrastructure processing 11 million images each day.

USUnited StatesCOColoradoHybridFull-timeJuniorMiddleNo degree requiredEnglish RequiredMachine Learning Engineer
CloudPythonTypeScript

Description

  • Lead the infrastructure that supports model training and serving
  • Oversee model version control, deployments, and rollbacks
  • Develop and optimize pipelines that process 11 million images per day
  • Support detection, segmentation, classification, embedding, and re-identification systems
  • Create software for roadside equipment and edge inference
  • Build tools to deploy and update models on edge devices
  • Track model performance and identify degradation or drift
  • Manage production updates and retraining to maintain model accuracy
  • Operate systems spanning cloud platforms, self-managed servers, and field devices
  • Complete an interview process with 3–4 interviews followed by a final paid work trial
  • Work in person with the lean engineering team and technical decision-makers

Requirements

  • Bring 2–6 years of experience building and operating production software, such as infrastructure, backend services, or ML platforms
  • Write production-quality code
  • Have experience with reliable systems, pipelines, deployment, observability, and operational tooling
  • Understand, or be prepared to learn, model training and evaluation well enough to troubleshoot models in production
  • Learn quickly and collaborate across teams in a lean working environment
  • Apply software engineering and system-design principles to the unpredictability of the physical world
  • Use Python and TypeScript primarily, or demonstrate proficiency in another language alongside the ability to learn quickly
  • Experience deploying ML models, monitoring or retraining them, targeting edge or resource-constrained hardware, or operating self-managed servers is an advantage
  • Relocate to Denver for the role
  • State whether visa sponsorship is required to work in the United States

Benefits

  • Relocation assistance and a relocation bonus for joining the Denver engineering office
  • Monthly healthcare allowance for employees and dependents through an ICHRA
  • 401(k) contributions matched up to 4%
  • Company-paid life and disability insurance
  • Equity package
  • Annual tender opportunity to sell vested shares at the same valuation as investors
  • Four weeks of untracked paid time off
  • Twelve weeks of paid parental leave for birth and adoptive parents
  • Twelve weeks of fully paid sabbatical leave every five years
  • Daily breakfast and group lunches
  • Stocked kitchen with snacks
  • Annual four-day team trip for employees and their significant others
  • Monthly game nights, escape rooms, and dinners
  • Tuition reimbursement for courses, programs, and conferences

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