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1 день назад

Machine Learning Engineer II (AI)

158 100 - 213 800$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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

Machine Learning Engineer II (AI): Building and optimizing high-load ad-serving services for hirify.global Search with an accent on generative AI, information retrieval, and distributed systems. Focus on designing scalable ML pipelines, optimizing model performance, and mentoring junior engineers to deliver high-impact advertising solutions.

Location: Must be based in New York, NY, USA

Salary: $158,100–$213,800 USD annually

Company

A global leader in e-commerce and cloud computing, driving innovation in advertising through advanced generative AI technologies.

What you will do

  • Drive technical solutions using deep learning, AWS, and real-time ML serving systems.
  • Design and develop software to support scalable offline ML pipelines and online serving components.
  • Collaborate with applied scientists to optimize ML model performance and advance technical foundations.
  • Troubleshoot and support high-volume, low-latency distributed systems handling billions of requests.
  • Mentor junior engineers and guide the delivery of high-impact products.

Requirements

  • 3+ years of professional software development experience
  • 2+ years of experience in system design or architecture
  • Experience building and delivering complex software systems to customers
  • Proficiency in at least one major programming language
  • Must be authorized to work in the USA

Nice to have

  • Experience in machine learning, data mining, or information retrieval
  • Knowledge of LLM fundamentals, training/inference lifecycles, and model optimization
  • Experience leading engineering teams or acting as a tech lead

Culture & Benefits

  • Comprehensive health insurance including medical, dental, and vision
  • 401(k) matching program
  • Paid time off and parental leave
  • Inclusive culture with support for workplace accommodations
  • Access to mental health support and medical advice lines

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