Blissway Inc.
Blissway Inc.
Blissway Inc. — ақылы жолдар мен басқарылатын жолақтарға арналған заманауи инфрақұрылымды әзірлейтін көлік технологиялары компаниясы. Оның платформасы жол жиегіне орнатылатын ықшам сымсыз автономды жолақ бақылау құрылғыларын (WAL-E) бұлтқа негізделген деректер аналитикасымен біріктіріп, бірнеше жолақтағы көліктерді анықтап, қадағалайды. Технология электрондық төлем жинауды, көліктерді жіктеуді, жолақтағы адамдар санын тексеру арқылы экспресс және HOV жолақтарын басқаруды, сондай-ақ уақытша немесе апаттан кейінгі қалпына келтіруге арналған ақылы жол операцияларын қолдайды. Blissway компаниясының шешімдері дәстүрлі портал құрылымдары мен көлік ішіндегі транспондерлерге балама іздейтін ақылы жол агенттіктері мен көлік операторларына арналған.

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.

Сипаттама

  • 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

Талаптар

  • 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

Артықшылықтар

  • 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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