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обновлено 27 дней назад

Field Engineer (AI)

180 550 - 226 550$
Тип работы
fulltime
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
Field Engineer (AI): Building and optimizing production-grade data pipelines for public sector customers with an accent on data integration and API design. Focus on solving complex technical blockers, developing SDKs, and ensuring successful deployment of AI technologies in classified environments.

Location: Public sector and federal customer projects; an active TS/SCI clearance is required.

Salary: $180,550–$226,550 USD and $150,400–$188,000 USD annually, depending on location and qualifications.

Company

Scale AI develops reliable AI systems, high-quality data, and full-stack technologies for enterprises and governments.

What you will do

  • Build end-to-end data integrations connecting customer data with Scale's platform.
  • Optimize customer data pipelines, including API endpoint design and input/output schemas.
  • Design playbooks, internal tools, documentation, and SDKs for long-term customer success.
  • Partner with Engineering and Operations to debug delivery issues, resolve technical blockers, and manage escalations.
  • Work with Account Executives and Product Managers to identify customer-specific feature requests.
  • Develop expertise in large language models, 2D image annotation, and API integrations while representing Scale at major events.

Requirements

  • Active TS/SCI clearance required.
  • Experience as a customer-facing engineer or in a similar hybrid role.
  • Hands-on client-facing technical experience in pre-sales or post-sales environments.
  • Development experience with Python, JavaScript, or another modern programming language.
  • Strong engineering background, preferably in computer science, mathematics, or another quantitative field.
  • Strong project management, interpersonal, presentation, and cross-functional communication skills.

Nice to have

  • Experience in AI or classified environments.
  • Technical go-to-market experience.
  • Knowledge of DevSecOps, secure software delivery, infrastructure as code, and CI/CD.
  • Hands-on experience with Kubernetes, Helm charts, Ansible, or similar infrastructure automation tools.

Culture & Benefits

  • Health, dental, and vision coverage.
  • Retirement benefits, learning and development stipend, and generous paid time off.
  • Potential commuter stipend and equity eligibility for eligible roles.
  • Inclusive equal opportunity workplace with reasonable accommodation support.

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