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1 день назад

Senior AI/ML Engineer (Automotive)

170 600 - 261 300$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior AI/ML Engineer (AI/ML): Building and operating hybrid human/machine data labeling tools and pipelines to power autonomous vehicle models with an accent on full-stack architecture and ML-driven data annotation. Focus on designing scalable user experiences, automating labeling workflows, and integrating active learning loops to accelerate AV capabilities.

Location: Remote (USA). If located within a 50-mile radius of Sunnyvale, CA, reporting to the office three times a week is required.

Salary: $170,600 – $261,300

Company

hirify.global is a global automotive leader developing self-driving technology to achieve zero crashes, emissions, and congestion.

What you will do

  • Design and implement scalable, high-performance full-stack user experiences for data labeling.
  • Develop automation tooling and dashboards to improve ML data quality and reduce iteration time.
  • Integrate ML-driven annotation techniques, including pre-labeling and active learning loops.
  • Utilize and advocate for AI-powered development workflows to increase engineering velocity.
  • Lead technical projects end-to-end from problem framing through design and rollout.
  • Collaborate with ML, Ops, and Product teams to translate requirements into concrete APIs and UIs.

Requirements

  • 6+ years of experience building robust distributed platforms and applications.
  • Proficiency in Python, TypeScript, Go, React, SQL, Redux, GraphQL, and WebGL.
  • Experience developing and operating cloud-based applications.
  • Strong foundations in OO design, data structures, algorithms, TDD, and CI/CD.
  • Hands-on experience using agentic AI tools to accelerate software delivery.

Nice to have

  • Experience with computer vision, machine learning, or data-centric AI projects.
  • Familiarity with professional data labeling platforms and workflow engines.
  • Experience with modern web APIs (Service Workers, IndexedDB) for data-intensive apps.
  • Knowledge of A/B testing and telemetry/observability systems.

Culture & Benefits

  • Comprehensive health, dental, and vision programs, including HSA and FSA.
  • Retirement savings plans and paid vacation/holidays.
  • Tuition assistance and employee assistance programs.
  • GM vehicle discounts.
  • Commitment to inclusion, belonging, and non-discrimination.

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