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8 часов назад

Senior Principal Engineer (AI/ML Platform)

178 875 - 320 650$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Senior Principal Engineer (AI/ML Platform): Leading the design and execution of the next-generation machine learning platform (AMP) with an accent on Agentic AI features and scalable AI/ML systems. Focus on driving technical strategy, implementing MLOps principles, and fostering a culture of engineering excellence.

Location: San Francisco, CA, USA

Salary: $178,875 – $320,650

Company

hirify.global is a global software leader helping innovators design and make a better world across architecture, engineering, construction, and manufacturing.

What you will do

  • Lead the strategy for the development and deployment of AI/ML solutions.
  • Collaborate with product management, data science, and cloud infrastructure teams to define the platform roadmap.
  • Provide technical leadership for the architecture of scalable, reliable, and efficient AI/ML systems.
  • Drive platform execution using agile methodologies and high standards for code quality and security.
  • Mentor software and ML engineers, promoting a high-performance engineering culture.
  • Participate in code reviews and hands-on problem-solving alongside the team.

Requirements

  • Location: Must be based in San Francisco, CA
  • BS/MS in Computer Science, Engineering, or a related field.
  • 12+ years of software engineering experience, including 3+ years as a technical lead or Software Architect.
  • Proven track record of leading and mentoring software and ML engineering teams.
  • Expertise in building scalable production applications on cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
  • Experience deploying AI models using AWS SageMaker, Bedrock, or Azure Machine Learning.
  • Knowledge of Agentic AI architectures, API ecosystems, and context management.
  • Deep understanding of MLOps, CI/CD, and machine learning lifecycle management.

Culture & Benefits

  • Comprehensive health and financial benefits for U.S. employees.
  • Focus on everyday wellness and time away from work.
  • Inclusive workplace culture emphasizing belonging and diversity.
  • Opportunity to work on cutting-edge AI tools that impact global industries.

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