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Senior ML Systems Engineer (AI)

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

Текст:
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TL;DR
Senior ML Systems Engineer (AI): Building and operating hybrid human/machine data labeling tools and pipelines for autonomous vehicle machine learning models with an accent on full-stack architecture and scalable data-annotation solutions. Focus on designing high-performance user experiences, automating ML workflows, and integrating AI-driven annotation to accelerate model training at foundation-model scale.

Location: Remote (US). If you live within a 50-mile radius of Sunnyvale, CA, you are expected to report to the office three times a week.

Salary: $170,600–$261,300

Company

hirify.global is a global automotive leader committed to a future of zero crashes, zero emissions, and zero congestion.

What you will do

  • Design and implement scalable, high-performance user experiences and services for data labeling.
  • Develop automation and tooling to provide ML engineers with deep insights into labeling workflows and data quality.
  • Collaborate with ML engineers to integrate ML-driven data annotation, including pre-labeling and active learning loops.
  • Champion AI-assisted engineering workflows to increase development velocity.
  • Own technical projects end-to-end, from problem framing to rollout.
  • Partner with cross-functional teams to translate requirements into concrete APIs and UIs.

Requirements

  • 6+ years of experience building robust distributed platforms and applications.
  • Hands-on experience leveraging AI tools for development and debugging.
  • Proficiency in Python, TypeScript, Go, React, SQL, and GraphQL.
  • Strong understanding of relational databases, data modeling, and API design.
  • Solid fundamentals in object-oriented design, data structures, and algorithms.
  • Experience developing and operating cloud-based applications.

Nice to have

  • Experience with web APIs like Service Workers, Cache Storage, and IndexedDB.
  • Background in computer vision, machine learning, or data-centric AI projects.
  • Familiarity with data labeling platforms and workflow engines.
  • Experience with A/B testing and observability systems.

Culture & Benefits

  • Comprehensive health and wellbeing programs including medical, dental, and vision.
  • Retirement savings plan and tuition assistance programs.
  • Paid vacation and holidays.
  • Employee assistance program and GM vehicle discounts.
  • Inclusive workplace culture focused on belonging and professional development.

Hiring process

  • Role-related assessments and/or pre-employment screenings may be required.

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