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9 дней назад

Staff Software Engineer (AI/ML)

143 000 - 286 000$
Формат работы
onsite
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
Staff Software Engineer (AI/ML): Building scalable platform capabilities, including infrastructure, tooling, and machine learning frameworks, with an accent on cloud-native architecture, full lifecycle delivery, and developer productivity. Focus on designing resilient systems, integrating AI-driven applications, conducting architecture reviews, and mentoring engineers through complex technical decisions.

Location: Sunnyvale, California, United States; onsite home office

Salary: $143,000–$286,000 annually, plus performance-based bonuses and possible stock compensation.

Company

hirify.global develops digital fulfillment and platform capabilities using cloud, AI, automation, and scalable software solutions.

What you will do

  • Deliver platform capabilities covering infrastructure, tooling, and machine learning frameworks.
  • Lead coding, testing, deployment, monitoring, and maintenance across the full software development lifecycle.
  • Apply cloud-native architecture, microservices, containers, and automation to build scalable and resilient systems.
  • Build AI-driven applications and integrate machine learning components to improve automation.
  • Conduct system design reviews, debug systems, and drive data-informed engineering improvements.
  • Mentor engineers, influence technical decisions, and collaborate with cross-functional stakeholders.

Requirements

  • Bachelor’s degree in computer science, computer engineering, software engineering, or a related field plus 4 years of software engineering experience, or 6 years of relevant experience.
  • Expertise in cloud-native architecture, microservices, containers, and automation.
  • Strong knowledge of software design patterns, API design, platform development, CI/CD, and lifecycle maintenance.
  • Experience integrating AI/ML components and developing intelligent automation with Java, Python, and Kafka.
  • Experience with design reviews, debugging, data-driven decision-making, technical leadership, and mentoring.
  • Effective communication and collaboration with cross-functional teams and stakeholders.

Nice to have

  • Master’s degree in computer science, computer engineering, software engineering, or a related field with 2 years of relevant experience.
  • Knowledge of WCAG 2.2 AA, assistive technologies, and digital accessibility practices.

Culture & Benefits

  • Medical, vision, and dental coverage.
  • 401(k), stock purchase options, company-paid life insurance, and disability benefits.
  • Paid time off, sick leave, parental leave, family care leave, bereavement leave, jury duty, and voting leave.
  • Education benefits covering eligible tuition, books, and fees through Live Better U.
  • Additional benefits include company discounts, military leave pay, and adoption and surrogacy expense reimbursement.

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