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24 часа назад

Staff Embedded ML Engineer (Edge AI)

183 300 - 268 800$
Формат работы
hybrid
Тип работы
fulltime
Грейд
principal
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

Staff Embedded ML Engineer (Edge AI): Designing and building infrastructure to power machine learning and computer vision development and deployment at scale with an accent on robust, production-ready software solutions that support the full ML lifecycle. Focus on contributing to team-wide initiatives spanning software architecture, data processing, engineering best practices, and creating comprehensive documentation.

Location: Hybrid in Boston, MA, with office attendance expected on two core days (typically Tuesday, Wednesday, or Thursday).

Salary: $183,300–$268,800 annually.

Company

hirify.global is a leading innovator in the home security industry, dedicated to making every home a safe home with accessible and comprehensive security solutions.

What you will do

  • Design, build, and maintain software systems and infrastructure that support the end-to-end ML lifecycle.
  • Support the development and operation of production-grade machine learning solutions.
  • Develop and operate microservices in a public cloud environment (AWS, Azure, or GCP).
  • Collaborate cross-functionally with ML and platform teams to deliver scalable solutions.
  • Provide technical guidance and mentorship to engineers and promote high engineering standards.
  • Contribute to cloud infrastructure automation, CI/CD pipelines, and containerized deployments.

Requirements

  • 5+ years of experience building software systems and infrastructure.
  • 3+ years of experience deploying and supporting production solutions on AWS.
  • Experience building and operating production applications on Kubernetes.
  • Experience with AWS data services such as Athena, Glue, and Kinesis.
  • Familiarity with AWS services such as Lambda, Dynamodb, and IAM.
  • Expertise in containers, infrastructure automation, and CI/CD tooling.

Nice to have

  • Experience supporting or building platforms for ML or data-intensive systems.
  • Exposure to LLM-powered applications, including evaluation, inference, or integration.
  • Experience with distributed compute frameworks (e.g., Ray, Spark).

Culture & Benefits

  • A mission- and values-driven culture with a safe, inclusive environment for growth.
  • A comprehensive total rewards package that supports wellness and provides security.
  • Free hirify.global system and professional monitoring for your home.
  • Employee Resource Groups for networking, mentoring, and development.
  • Commitment to fair and equitable pay practices, as well as pay transparency.

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