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5 часов назад

Staff ML Engineer (Generative AI)

190 000 - 234 000$
Формат работы
hybrid
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 ML Engineer (Generative AI): Building scalable machine learning systems and web applications for personalized text, image, audio, and video generation with an accent on model training, fine-tuning, inference, and safety. Focus on designing and operating Generative AI systems at significant scale, prototyping innovative solutions, and establishing data-driven product metrics.

Location: Hybrid role based at the Palo Alto HQ, with in-office collaboration 3 days per week

Base salary: $190,000–$234,000 per year, plus equity and benefits.

Company

hirify.global builds AI-powered marketing orchestration technology that helps major brands create personalized campaigns and content.

What you will do

  • Build machine learning models, systems, and web applications that deliver Generative AI capabilities to customers.
  • Define the roadmap for generating personalized and brand-aligned text, image, audio, and video content.
  • Own initiatives across technical design, specification, development, testing, and launch.
  • Establish processes for training, fine-tuning, testing, and operating Generative AI models at scale.
  • Investigate, prototype, and deliver innovative machine learning solutions.
  • Define, track, and operationalize feature, product, and company-level metrics in collaboration with Product, Business, and Engineering teams.

Requirements

  • 10+ years of experience designing, building, and scaling systems for training, testing, and running machine learning models.
  • Master’s or PhD degree in Computer Science or a related field.
  • Experience building and evolving large-scale ML training and inference systems for real-world applications.
  • Demonstrated machine learning innovation through publications, projects, or comparable accomplishments.
  • Proficiency in Python and C/C++ or equivalent, with the ability to create reusable and testable modules.
  • Experience with AzureML, GCP Vertex, AWS SageMaker, or similar platforms.

Nice to have

  • Hands-on experience deploying and tuning Generative AI models in the cloud or on local systems.
  • Experience at a high-growth startup or technology company.
  • Publications or research experience in machine learning venues and vision or language applications.

Culture & Benefits

  • Salary, equity, 401(k), and comprehensive medical, dental, and vision insurance.
  • HSA and FSA options, flexible time off, and parental leave.
  • Well-being programs, daily lunch and snacks, and mentorship from AI leaders.
  • Opportunity to work on products powered by Agentic AI for major enterprise brands.
  • Collaborative environment with experienced colleagues from leading technology and AI companies.

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