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3 дня назад

Machine Learning Engineer (LLM)

180 000 - 225 000$
Формат работы
remote (только USA)
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

Текст:
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TL;DR
Machine Learning Engineer (LLM): Fine-tuning transformer-based and multimodal models through automation pipelines and deploying real-time machine learning systems in production with an accent on large-scale data processing, feature engineering, and model evaluation. Focus on building scalable fine-tuning frameworks, optimizing model size, cost, and latency, and monitoring model performance in real time.

Location: United States — Remote

Salary: $180,000–$225,000 USD annually

Company

hirify.global is an early-stage AI company founded in 2022 that develops trustworthy and useful intelligent technologies powered by automation, machine learning, and knowledge graphs.

What you will do

  • Fine-tune transformer-based, large language, and multimodal models using production automation pipelines.
  • Process large datasets and engineer features to improve model performance.
  • Build frameworks for iterating on and evaluating model versions based on ranking, accuracy, and latency.
  • Deploy machine learning models at scale in collaboration with software engineers.
  • Implement real-time monitoring, maintenance, and updates for production models.
  • Collaborate with data scientists, software developers, designers, and business analysts to deliver machine learning solutions.

Requirements

  • 3+ years of experience developing and deploying machine learning models in production.
  • Experience designing, developing, and operating fine-tuning pipelines in production environments.
  • Experience with large-scale data processing and distributed systems.
  • Strong Python programming skills.
  • Proficiency with machine learning libraries such as PyTorch and TensorFlow.
  • Must be based in the United States.

Nice to have

  • Experience optimizing models for size, cost, and latency.
  • Startup experience.

Culture & Benefits

  • Early-stage equity.
  • Comprehensive health insurance.
  • Generous paid time off.
  • Remote and in-person collaboration across Austin, New York City, and the Bay Area.

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