Назад
Company hidden
6 часов назад

Staff Software Engineer (AI)

150 000 - 250 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Staff Software Engineer (AI) (ML infrastructure and cloud platforms): Architecting scalable infrastructure and services for large-scale machine learning training, massive datasets, and production customers with an accent on distributed systems, reliability, cost efficiency, and usability. Focus on designing end-to-end ML platforms, solving data processing and storage challenges at scale, and mentoring engineers across data science, product, and operations.

Location: Remote - US

Salary: $150,000–$250,000 base annually, with possible additional equity or bonus/commission compensation.

Company

hirify.global builds AI software for autonomous driving and robotics using its Deep Teaching methodology and unsupervised learning technology.

What you will do

  • Architect and build scalable, reliable ML infrastructure and services for large-scale training, massive datasets, and diverse customer needs.
  • Scale data processing and machine learning model development across a global platform.
  • Optimize infrastructure for flexibility, cost efficiency, performance, security, and scalability.
  • Own the platform lifecycle from inception and design through implementation, deployment, and monitoring.
  • Collaborate with data science, product, and operations teams to integrate ML capabilities into business-critical services.
  • Lead and mentor engineers while solving complex infrastructure, storage, and data-access challenges.

Requirements

  • Experience building and scaling cloud-based infrastructure and services in machine learning or data-heavy environments.
  • Expert knowledge of distributed systems, cloud platforms such as AWS, GCP, or Azure, Kubernetes, Docker, and microservices architecture.
  • Deep experience building large-scale services with strong performance, reliability, and cost characteristics.
  • Experience designing cost-effective solutions while balancing performance, security, and scalability.
  • Solid understanding of machine learning concepts, including model training and validation.
  • Strong leadership, collaboration, mentoring, problem-solving, and ambiguity-management skills in fast-paced environments.

Culture & Benefits

  • Remote-friendly and flexible team culture.
  • Competitive health insurance options.
  • 401(k) plan management.
  • Monthly wellness stipend and office setup allowance.
  • Company retreats and access to a fully stocked kitchen with free lunch at the South Bay office.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →